Hi AastaLLL,
Sure, I have used this method to convert the from .h5 to .uff.
I also found that there is no file named sampleUffMaskRCNN in /usr/src/tensorrt/samples/ when I install Jetpack4.3 for Nano.
So I downloaded the tensorrt-release-6.0 from the link:
https://github.com/NVIDIA/TensorRT/tree/release/6.0
And used
python3 mrcnn_to_trt_single.py -w /path/to/data/mask_rcnn_coco.h5 -o /path/to/data/mrcnn_nchw.uff -p ./config.py
Then the terminal shows as follow:
Using TensorFlow backend.
WARNING:tensorflow:From /usr/lib/python3.6/dist-packages/uff/converters/tensorflow/conversion_helpers.py:18: The name tf.GraphDef is deprecated. Please use tf.compat.v1.GraphDef instead.
WARNING:tensorflow:From /home/zhu/.local/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:146: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.
Configurations:
BACKBONE resnet101
BACKBONE_STRIDES [4, 8, 16, 32, 64]
BATCH_SIZE 1
BBOX_STD_DEV [0.1 0.1 0.2 0.2]
COMPUTE_BACKBONE_SHAPE None
DETECTION_MAX_INSTANCES 100
DETECTION_MIN_CONFIDENCE 0.7
DETECTION_NMS_THRESHOLD 0.3
FPN_CLASSIF_FC_LAYERS_SIZE 1024
GPU_COUNT 1
GRADIENT_CLIP_NORM 5.0
IMAGES_PER_GPU 1
IMAGE_CHANNEL_COUNT 3
IMAGE_MAX_DIM 1024
IMAGE_META_SIZE 93
IMAGE_MIN_DIM 800
IMAGE_MIN_SCALE 0
IMAGE_RESIZE_MODE square
IMAGE_SHAPE [1024 1024 3]
LEARNING_MOMENTUM 0.9
LEARNING_RATE 0.001
LOSS_WEIGHTS {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0}
MASK_POOL_SIZE 14
MASK_SHAPE [28, 28]
MAX_GT_INSTANCES 100
MEAN_PIXEL [123.7 116.8 103.9]
MINI_MASK_SHAPE (56, 56)
NAME coco
NUM_CLASSES 81
POOL_SIZE 7
POST_NMS_ROIS_INFERENCE 1000
POST_NMS_ROIS_TRAINING 2000
PRE_NMS_LIMIT 6000
ROI_POSITIVE_RATIO 0.33
RPN_ANCHOR_RATIOS [0.5, 1, 2]
RPN_ANCHOR_SCALES (32, 64, 128, 256, 512)
RPN_ANCHOR_STRIDE 1
RPN_BBOX_STD_DEV [0.1 0.1 0.2 0.2]
RPN_NMS_THRESHOLD 0.7
RPN_TRAIN_ANCHORS_PER_IMAGE 256
STEPS_PER_EPOCH 1000
TOP_DOWN_PYRAMID_SIZE 256
TRAIN_BN False
TRAIN_ROIS_PER_IMAGE 200
USE_MINI_MASK True
USE_RPN_ROIS True
VALIDATION_STEPS 50
WEIGHT_DECAY 0.0001
WARNING:tensorflow:From /home/zhu/.local/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:504: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.
WARNING:tensorflow:From /home/zhu/.local/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:3828: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.
WARNING:tensorflow:From /home/zhu/.local/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:166: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.
WARNING:tensorflow:From /home/zhu/.local/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:3652: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.
WARNING:tensorflow:From /home/zhu/.local/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:1928: The name tf.image.resize_nearest_neighbor is deprecated. Please use tf.compat.v1.image.resize_nearest_neighbor instead.
WARNING:tensorflow:From /home/zhu/Mask_RCNN/mrcnn/model.py:412: add_dispatch_support.<locals>.wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
WARNING:tensorflow:From /home/zhu/Mask_RCNN/mrcnn/model.py:374: calling crop_and_resize_v1 (from tensorflow.python.ops.image_ops_impl) with box_ind is deprecated and will be removed in a future version.
Instructions for updating:
box_ind is deprecated, use box_indices instead
WARNING:tensorflow:From /home/zhu/Mask_RCNN/mrcnn/model.py:731: The name tf.sets.set_intersection is deprecated. Please use tf.sets.intersection instead.
WARNING:tensorflow:From /home/zhu/Mask_RCNN/mrcnn/model.py:783: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.cast` instead.
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_image (InputLayer) (None, 3, 1024, 1024 0
__________________________________________________________________________________________________
zero_padding2d_1 (ZeroPadding2D (None, 3, 1030, 1030 0 input_image[0][0]
__________________________________________________________________________________________________
conv1 (Conv2D) (None, 64, 512, 512) 9472 zero_padding2d_1[0][0]
__________________________________________________________________________________________________
bn_conv1 (BatchNorm) (None, 64, 512, 512) 256 conv1[0][0]
__________________________________________________________________________________________________
activation_1 (Activation) (None, 64, 512, 512) 0 bn_conv1[0][0]
__________________________________________________________________________________________________
max_pooling2d_1 (MaxPooling2D) (None, 64, 256, 256) 0 activation_1[0][0]
__________________________________________________________________________________________________
res2a_branch2a (Conv2D) (None, 64, 256, 256) 4160 max_pooling2d_1[0][0]
__________________________________________________________________________________________________
bn2a_branch2a (BatchNorm) (None, 64, 256, 256) 256 res2a_branch2a[0][0]
__________________________________________________________________________________________________
activation_2 (Activation) (None, 64, 256, 256) 0 bn2a_branch2a[0][0]
__________________________________________________________________________________________________
res2a_branch2b (Conv2D) (None, 64, 256, 256) 36928 activation_2[0][0]
__________________________________________________________________________________________________
bn2a_branch2b (BatchNorm) (None, 64, 256, 256) 256 res2a_branch2b[0][0]
__________________________________________________________________________________________________
activation_3 (Activation) (None, 64, 256, 256) 0 bn2a_branch2b[0][0]
__________________________________________________________________________________________________
res2a_branch2c (Conv2D) (None, 256, 256, 256 16640 activation_3[0][0]
__________________________________________________________________________________________________
res2a_branch1 (Conv2D) (None, 256, 256, 256 16640 max_pooling2d_1[0][0]
__________________________________________________________________________________________________
bn2a_branch2c (BatchNorm) (None, 256, 256, 256 1024 res2a_branch2c[0][0]
__________________________________________________________________________________________________
bn2a_branch1 (BatchNorm) (None, 256, 256, 256 1024 res2a_branch1[0][0]
__________________________________________________________________________________________________
add_1 (Add) (None, 256, 256, 256 0 bn2a_branch2c[0][0]
bn2a_branch1[0][0]
__________________________________________________________________________________________________
res2a_out (Activation) (None, 256, 256, 256 0 add_1[0][0]
__________________________________________________________________________________________________
res2b_branch2a (Conv2D) (None, 64, 256, 256) 16448 res2a_out[0][0]
__________________________________________________________________________________________________
bn2b_branch2a (BatchNorm) (None, 64, 256, 256) 256 res2b_branch2a[0][0]
__________________________________________________________________________________________________
activation_4 (Activation) (None, 64, 256, 256) 0 bn2b_branch2a[0][0]
__________________________________________________________________________________________________
res2b_branch2b (Conv2D) (None, 64, 256, 256) 36928 activation_4[0][0]
__________________________________________________________________________________________________
bn2b_branch2b (BatchNorm) (None, 64, 256, 256) 256 res2b_branch2b[0][0]
__________________________________________________________________________________________________
activation_5 (Activation) (None, 64, 256, 256) 0 bn2b_branch2b[0][0]
__________________________________________________________________________________________________
res2b_branch2c (Conv2D) (None, 256, 256, 256 16640 activation_5[0][0]
__________________________________________________________________________________________________
bn2b_branch2c (BatchNorm) (None, 256, 256, 256 1024 res2b_branch2c[0][0]
__________________________________________________________________________________________________
add_2 (Add) (None, 256, 256, 256 0 bn2b_branch2c[0][0]
res2a_out[0][0]
__________________________________________________________________________________________________
res2b_out (Activation) (None, 256, 256, 256 0 add_2[0][0]
__________________________________________________________________________________________________
res2c_branch2a (Conv2D) (None, 64, 256, 256) 16448 res2b_out[0][0]
__________________________________________________________________________________________________
bn2c_branch2a (BatchNorm) (None, 64, 256, 256) 256 res2c_branch2a[0][0]
__________________________________________________________________________________________________
activation_6 (Activation) (None, 64, 256, 256) 0 bn2c_branch2a[0][0]
__________________________________________________________________________________________________
res2c_branch2b (Conv2D) (None, 64, 256, 256) 36928 activation_6[0][0]
__________________________________________________________________________________________________
bn2c_branch2b (BatchNorm) (None, 64, 256, 256) 256 res2c_branch2b[0][0]
__________________________________________________________________________________________________
activation_7 (Activation) (None, 64, 256, 256) 0 bn2c_branch2b[0][0]
__________________________________________________________________________________________________
res2c_branch2c (Conv2D) (None, 256, 256, 256 16640 activation_7[0][0]
__________________________________________________________________________________________________
bn2c_branch2c (BatchNorm) (None, 256, 256, 256 1024 res2c_branch2c[0][0]
__________________________________________________________________________________________________
add_3 (Add) (None, 256, 256, 256 0 bn2c_branch2c[0][0]
res2b_out[0][0]
__________________________________________________________________________________________________
res2c_out (Activation) (None, 256, 256, 256 0 add_3[0][0]
__________________________________________________________________________________________________
res3a_branch2a (Conv2D) (None, 128, 128, 128 32896 res2c_out[0][0]
__________________________________________________________________________________________________
bn3a_branch2a (BatchNorm) (None, 128, 128, 128 512 res3a_branch2a[0][0]
__________________________________________________________________________________________________
activation_8 (Activation) (None, 128, 128, 128 0 bn3a_branch2a[0][0]
__________________________________________________________________________________________________
res3a_branch2b (Conv2D) (None, 128, 128, 128 147584 activation_8[0][0]
__________________________________________________________________________________________________
bn3a_branch2b (BatchNorm) (None, 128, 128, 128 512 res3a_branch2b[0][0]
__________________________________________________________________________________________________
activation_9 (Activation) (None, 128, 128, 128 0 bn3a_branch2b[0][0]
__________________________________________________________________________________________________
res3a_branch2c (Conv2D) (None, 512, 128, 128 66048 activation_9[0][0]
__________________________________________________________________________________________________
res3a_branch1 (Conv2D) (None, 512, 128, 128 131584 res2c_out[0][0]
__________________________________________________________________________________________________
bn3a_branch2c (BatchNorm) (None, 512, 128, 128 2048 res3a_branch2c[0][0]
__________________________________________________________________________________________________
bn3a_branch1 (BatchNorm) (None, 512, 128, 128 2048 res3a_branch1[0][0]
__________________________________________________________________________________________________
add_4 (Add) (None, 512, 128, 128 0 bn3a_branch2c[0][0]
bn3a_branch1[0][0]
__________________________________________________________________________________________________
res3a_out (Activation) (None, 512, 128, 128 0 add_4[0][0]
__________________________________________________________________________________________________
res3b_branch2a (Conv2D) (None, 128, 128, 128 65664 res3a_out[0][0]
__________________________________________________________________________________________________
bn3b_branch2a (BatchNorm) (None, 128, 128, 128 512 res3b_branch2a[0][0]
__________________________________________________________________________________________________
activation_10 (Activation) (None, 128, 128, 128 0 bn3b_branch2a[0][0]
__________________________________________________________________________________________________
res3b_branch2b (Conv2D) (None, 128, 128, 128 147584 activation_10[0][0]
__________________________________________________________________________________________________
bn3b_branch2b (BatchNorm) (None, 128, 128, 128 512 res3b_branch2b[0][0]
__________________________________________________________________________________________________
activation_11 (Activation) (None, 128, 128, 128 0 bn3b_branch2b[0][0]
__________________________________________________________________________________________________
res3b_branch2c (Conv2D) (None, 512, 128, 128 66048 activation_11[0][0]
__________________________________________________________________________________________________
bn3b_branch2c (BatchNorm) (None, 512, 128, 128 2048 res3b_branch2c[0][0]
__________________________________________________________________________________________________
add_5 (Add) (None, 512, 128, 128 0 bn3b_branch2c[0][0]
res3a_out[0][0]
__________________________________________________________________________________________________
res3b_out (Activation) (None, 512, 128, 128 0 add_5[0][0]
__________________________________________________________________________________________________
res3c_branch2a (Conv2D) (None, 128, 128, 128 65664 res3b_out[0][0]
__________________________________________________________________________________________________
bn3c_branch2a (BatchNorm) (None, 128, 128, 128 512 res3c_branch2a[0][0]
__________________________________________________________________________________________________
activation_12 (Activation) (None, 128, 128, 128 0 bn3c_branch2a[0][0]
__________________________________________________________________________________________________
res3c_branch2b (Conv2D) (None, 128, 128, 128 147584 activation_12[0][0]
__________________________________________________________________________________________________
bn3c_branch2b (BatchNorm) (None, 128, 128, 128 512 res3c_branch2b[0][0]
__________________________________________________________________________________________________
activation_13 (Activation) (None, 128, 128, 128 0 bn3c_branch2b[0][0]
__________________________________________________________________________________________________
res3c_branch2c (Conv2D) (None, 512, 128, 128 66048 activation_13[0][0]
__________________________________________________________________________________________________
bn3c_branch2c (BatchNorm) (None, 512, 128, 128 2048 res3c_branch2c[0][0]
__________________________________________________________________________________________________
add_6 (Add) (None, 512, 128, 128 0 bn3c_branch2c[0][0]
res3b_out[0][0]
__________________________________________________________________________________________________
res3c_out (Activation) (None, 512, 128, 128 0 add_6[0][0]
__________________________________________________________________________________________________
res3d_branch2a (Conv2D) (None, 128, 128, 128 65664 res3c_out[0][0]
__________________________________________________________________________________________________
bn3d_branch2a (BatchNorm) (None, 128, 128, 128 512 res3d_branch2a[0][0]
__________________________________________________________________________________________________
activation_14 (Activation) (None, 128, 128, 128 0 bn3d_branch2a[0][0]
__________________________________________________________________________________________________
res3d_branch2b (Conv2D) (None, 128, 128, 128 147584 activation_14[0][0]
__________________________________________________________________________________________________
bn3d_branch2b (BatchNorm) (None, 128, 128, 128 512 res3d_branch2b[0][0]
__________________________________________________________________________________________________
activation_15 (Activation) (None, 128, 128, 128 0 bn3d_branch2b[0][0]
__________________________________________________________________________________________________
res3d_branch2c (Conv2D) (None, 512, 128, 128 66048 activation_15[0][0]
__________________________________________________________________________________________________
bn3d_branch2c (BatchNorm) (None, 512, 128, 128 2048 res3d_branch2c[0][0]
__________________________________________________________________________________________________
add_7 (Add) (None, 512, 128, 128 0 bn3d_branch2c[0][0]
res3c_out[0][0]
__________________________________________________________________________________________________
res3d_out (Activation) (None, 512, 128, 128 0 add_7[0][0]
__________________________________________________________________________________________________
res4a_branch2a (Conv2D) (None, 256, 64, 64) 131328 res3d_out[0][0]
__________________________________________________________________________________________________
bn4a_branch2a (BatchNorm) (None, 256, 64, 64) 1024 res4a_branch2a[0][0]
__________________________________________________________________________________________________
activation_16 (Activation) (None, 256, 64, 64) 0 bn4a_branch2a[0][0]
__________________________________________________________________________________________________
res4a_branch2b (Conv2D) (None, 256, 64, 64) 590080 activation_16[0][0]
__________________________________________________________________________________________________
bn4a_branch2b (BatchNorm) (None, 256, 64, 64) 1024 res4a_branch2b[0][0]
__________________________________________________________________________________________________
activation_17 (Activation) (None, 256, 64, 64) 0 bn4a_branch2b[0][0]
__________________________________________________________________________________________________
res4a_branch2c (Conv2D) (None, 1024, 64, 64) 263168 activation_17[0][0]
__________________________________________________________________________________________________
res4a_branch1 (Conv2D) (None, 1024, 64, 64) 525312 res3d_out[0][0]
__________________________________________________________________________________________________
bn4a_branch2c (BatchNorm) (None, 1024, 64, 64) 4096 res4a_branch2c[0][0]
__________________________________________________________________________________________________
bn4a_branch1 (BatchNorm) (None, 1024, 64, 64) 4096 res4a_branch1[0][0]
__________________________________________________________________________________________________
add_8 (Add) (None, 1024, 64, 64) 0 bn4a_branch2c[0][0]
bn4a_branch1[0][0]
__________________________________________________________________________________________________
res4a_out (Activation) (None, 1024, 64, 64) 0 add_8[0][0]
__________________________________________________________________________________________________
res4b_branch2a (Conv2D) (None, 256, 64, 64) 262400 res4a_out[0][0]
__________________________________________________________________________________________________
bn4b_branch2a (BatchNorm) (None, 256, 64, 64) 1024 res4b_branch2a[0][0]
__________________________________________________________________________________________________
activation_18 (Activation) (None, 256, 64, 64) 0 bn4b_branch2a[0][0]
__________________________________________________________________________________________________
res4b_branch2b (Conv2D) (None, 256, 64, 64) 590080 activation_18[0][0]
__________________________________________________________________________________________________
bn4b_branch2b (BatchNorm) (None, 256, 64, 64) 1024 res4b_branch2b[0][0]
__________________________________________________________________________________________________
activation_19 (Activation) (None, 256, 64, 64) 0 bn4b_branch2b[0][0]
__________________________________________________________________________________________________
res4b_branch2c (Conv2D) (None, 1024, 64, 64) 263168 activation_19[0][0]
__________________________________________________________________________________________________
bn4b_branch2c (BatchNorm) (None, 1024, 64, 64) 4096 res4b_branch2c[0][0]
__________________________________________________________________________________________________
add_9 (Add) (None, 1024, 64, 64) 0 bn4b_branch2c[0][0]
res4a_out[0][0]
__________________________________________________________________________________________________
res4b_out (Activation) (None, 1024, 64, 64) 0 add_9[0][0]
__________________________________________________________________________________________________
res4c_branch2a (Conv2D) (None, 256, 64, 64) 262400 res4b_out[0][0]
__________________________________________________________________________________________________
bn4c_branch2a (BatchNorm) (None, 256, 64, 64) 1024 res4c_branch2a[0][0]
__________________________________________________________________________________________________
activation_20 (Activation) (None, 256, 64, 64) 0 bn4c_branch2a[0][0]
__________________________________________________________________________________________________
res4c_branch2b (Conv2D) (None, 256, 64, 64) 590080 activation_20[0][0]
__________________________________________________________________________________________________
bn4c_branch2b (BatchNorm) (None, 256, 64, 64) 1024 res4c_branch2b[0][0]
__________________________________________________________________________________________________
activation_21 (Activation) (None, 256, 64, 64) 0 bn4c_branch2b[0][0]
__________________________________________________________________________________________________
res4c_branch2c (Conv2D) (None, 1024, 64, 64) 263168 activation_21[0][0]
__________________________________________________________________________________________________
bn4c_branch2c (BatchNorm) (None, 1024, 64, 64) 4096 res4c_branch2c[0][0]
__________________________________________________________________________________________________
add_10 (Add) (None, 1024, 64, 64) 0 bn4c_branch2c[0][0]
res4b_out[0][0]
__________________________________________________________________________________________________
res4c_out (Activation) (None, 1024, 64, 64) 0 add_10[0][0]
__________________________________________________________________________________________________
res4d_branch2a (Conv2D) (None, 256, 64, 64) 262400 res4c_out[0][0]
__________________________________________________________________________________________________
bn4d_branch2a (BatchNorm) (None, 256, 64, 64) 1024 res4d_branch2a[0][0]
__________________________________________________________________________________________________
activation_22 (Activation) (None, 256, 64, 64) 0 bn4d_branch2a[0][0]
__________________________________________________________________________________________________
res4d_branch2b (Conv2D) (None, 256, 64, 64) 590080 activation_22[0][0]
__________________________________________________________________________________________________
bn4d_branch2b (BatchNorm) (None, 256, 64, 64) 1024 res4d_branch2b[0][0]
__________________________________________________________________________________________________
activation_23 (Activation) (None, 256, 64, 64) 0 bn4d_branch2b[0][0]
__________________________________________________________________________________________________
res4d_branch2c (Conv2D) (None, 1024, 64, 64) 263168 activation_23[0][0]
__________________________________________________________________________________________________
bn4d_branch2c (BatchNorm) (None, 1024, 64, 64) 4096 res4d_branch2c[0][0]
__________________________________________________________________________________________________
add_11 (Add) (None, 1024, 64, 64) 0 bn4d_branch2c[0][0]
res4c_out[0][0]
__________________________________________________________________________________________________
res4d_out (Activation) (None, 1024, 64, 64) 0 add_11[0][0]
__________________________________________________________________________________________________
res4e_branch2a (Conv2D) (None, 256, 64, 64) 262400 res4d_out[0][0]
__________________________________________________________________________________________________
bn4e_branch2a (BatchNorm) (None, 256, 64, 64) 1024 res4e_branch2a[0][0]
__________________________________________________________________________________________________
activation_24 (Activation) (None, 256, 64, 64) 0 bn4e_branch2a[0][0]
__________________________________________________________________________________________________
res4e_branch2b (Conv2D) (None, 256, 64, 64) 590080 activation_24[0][0]
__________________________________________________________________________________________________
bn4e_branch2b (BatchNorm) (None, 256, 64, 64) 1024 res4e_branch2b[0][0]
__________________________________________________________________________________________________
activation_25 (Activation) (None, 256, 64, 64) 0 bn4e_branch2b[0][0]
__________________________________________________________________________________________________
res4e_branch2c (Conv2D) (None, 1024, 64, 64) 263168 activation_25[0][0]
__________________________________________________________________________________________________
bn4e_branch2c (BatchNorm) (None, 1024, 64, 64) 4096 res4e_branch2c[0][0]
__________________________________________________________________________________________________
add_12 (Add) (None, 1024, 64, 64) 0 bn4e_branch2c[0][0]
res4d_out[0][0]
__________________________________________________________________________________________________
res4e_out (Activation) (None, 1024, 64, 64) 0 add_12[0][0]
__________________________________________________________________________________________________
res4f_branch2a (Conv2D) (None, 256, 64, 64) 262400 res4e_out[0][0]
__________________________________________________________________________________________________
bn4f_branch2a (BatchNorm) (None, 256, 64, 64) 1024 res4f_branch2a[0][0]
__________________________________________________________________________________________________
activation_26 (Activation) (None, 256, 64, 64) 0 bn4f_branch2a[0][0]
__________________________________________________________________________________________________
res4f_branch2b (Conv2D) (None, 256, 64, 64) 590080 activation_26[0][0]
__________________________________________________________________________________________________
bn4f_branch2b (BatchNorm) (None, 256, 64, 64) 1024 res4f_branch2b[0][0]
__________________________________________________________________________________________________
activation_27 (Activation) (None, 256, 64, 64) 0 bn4f_branch2b[0][0]
__________________________________________________________________________________________________
res4f_branch2c (Conv2D) (None, 1024, 64, 64) 263168 activation_27[0][0]
__________________________________________________________________________________________________
bn4f_branch2c (BatchNorm) (None, 1024, 64, 64) 4096 res4f_branch2c[0][0]
__________________________________________________________________________________________________
add_13 (Add) (None, 1024, 64, 64) 0 bn4f_branch2c[0][0]
res4e_out[0][0]
__________________________________________________________________________________________________
res4f_out (Activation) (None, 1024, 64, 64) 0 add_13[0][0]
__________________________________________________________________________________________________
res4g_branch2a (Conv2D) (None, 256, 64, 64) 262400 res4f_out[0][0]
__________________________________________________________________________________________________
bn4g_branch2a (BatchNorm) (None, 256, 64, 64) 1024 res4g_branch2a[0][0]
__________________________________________________________________________________________________
activation_28 (Activation) (None, 256, 64, 64) 0 bn4g_branch2a[0][0]
__________________________________________________________________________________________________
res4g_branch2b (Conv2D) (None, 256, 64, 64) 590080 activation_28[0][0]
__________________________________________________________________________________________________
bn4g_branch2b (BatchNorm) (None, 256, 64, 64) 1024 res4g_branch2b[0][0]
__________________________________________________________________________________________________
activation_29 (Activation) (None, 256, 64, 64) 0 bn4g_branch2b[0][0]
__________________________________________________________________________________________________
res4g_branch2c (Conv2D) (None, 1024, 64, 64) 263168 activation_29[0][0]
__________________________________________________________________________________________________
bn4g_branch2c (BatchNorm) (None, 1024, 64, 64) 4096 res4g_branch2c[0][0]
__________________________________________________________________________________________________
add_14 (Add) (None, 1024, 64, 64) 0 bn4g_branch2c[0][0]
res4f_out[0][0]
__________________________________________________________________________________________________
res4g_out (Activation) (None, 1024, 64, 64) 0 add_14[0][0]
__________________________________________________________________________________________________
res4h_branch2a (Conv2D) (None, 256, 64, 64) 262400 res4g_out[0][0]
__________________________________________________________________________________________________
bn4h_branch2a (BatchNorm) (None, 256, 64, 64) 1024 res4h_branch2a[0][0]
__________________________________________________________________________________________________
activation_30 (Activation) (None, 256, 64, 64) 0 bn4h_branch2a[0][0]
__________________________________________________________________________________________________
res4h_branch2b (Conv2D) (None, 256, 64, 64) 590080 activation_30[0][0]
__________________________________________________________________________________________________
bn4h_branch2b (BatchNorm) (None, 256, 64, 64) 1024 res4h_branch2b[0][0]
__________________________________________________________________________________________________
activation_31 (Activation) (None, 256, 64, 64) 0 bn4h_branch2b[0][0]
__________________________________________________________________________________________________
res4h_branch2c (Conv2D) (None, 1024, 64, 64) 263168 activation_31[0][0]
__________________________________________________________________________________________________
bn4h_branch2c (BatchNorm) (None, 1024, 64, 64) 4096 res4h_branch2c[0][0]
__________________________________________________________________________________________________
add_15 (Add) (None, 1024, 64, 64) 0 bn4h_branch2c[0][0]
res4g_out[0][0]
__________________________________________________________________________________________________
res4h_out (Activation) (None, 1024, 64, 64) 0 add_15[0][0]
__________________________________________________________________________________________________
res4i_branch2a (Conv2D) (None, 256, 64, 64) 262400 res4h_out[0][0]
__________________________________________________________________________________________________
bn4i_branch2a (BatchNorm) (None, 256, 64, 64) 1024 res4i_branch2a[0][0]
__________________________________________________________________________________________________
activation_32 (Activation) (None, 256, 64, 64) 0 bn4i_branch2a[0][0]
__________________________________________________________________________________________________
res4i_branch2b (Conv2D) (None, 256, 64, 64) 590080 activation_32[0][0]
__________________________________________________________________________________________________
bn4i_branch2b (BatchNorm) (None, 256, 64, 64) 1024 res4i_branch2b[0][0]
__________________________________________________________________________________________________
activation_33 (Activation) (None, 256, 64, 64) 0 bn4i_branch2b[0][0]
__________________________________________________________________________________________________
res4i_branch2c (Conv2D) (None, 1024, 64, 64) 263168 activation_33[0][0]
__________________________________________________________________________________________________
bn4i_branch2c (BatchNorm) (None, 1024, 64, 64) 4096 res4i_branch2c[0][0]
__________________________________________________________________________________________________
add_16 (Add) (None, 1024, 64, 64) 0 bn4i_branch2c[0][0]
res4h_out[0][0]
__________________________________________________________________________________________________
res4i_out (Activation) (None, 1024, 64, 64) 0 add_16[0][0]
__________________________________________________________________________________________________
res4j_branch2a (Conv2D) (None, 256, 64, 64) 262400 res4i_out[0][0]
__________________________________________________________________________________________________
bn4j_branch2a (BatchNorm) (None, 256, 64, 64) 1024 res4j_branch2a[0][0]
__________________________________________________________________________________________________
activation_34 (Activation) (None, 256, 64, 64) 0 bn4j_branch2a[0][0]
__________________________________________________________________________________________________
res4j_branch2b (Conv2D) (None, 256, 64, 64) 590080 activation_34[0][0]
__________________________________________________________________________________________________
bn4j_branch2b (BatchNorm) (None, 256, 64, 64) 1024 res4j_branch2b[0][0]
__________________________________________________________________________________________________
activation_35 (Activation) (None, 256, 64, 64) 0 bn4j_branch2b[0][0]
__________________________________________________________________________________________________
res4j_branch2c (Conv2D) (None, 1024, 64, 64) 263168 activation_35[0][0]
__________________________________________________________________________________________________
bn4j_branch2c (BatchNorm) (None, 1024, 64, 64) 4096 res4j_branch2c[0][0]
__________________________________________________________________________________________________
add_17 (Add) (None, 1024, 64, 64) 0 bn4j_branch2c[0][0]
res4i_out[0][0]
__________________________________________________________________________________________________
res4j_out (Activation) (None, 1024, 64, 64) 0 add_17[0][0]
__________________________________________________________________________________________________
res4k_branch2a (Conv2D) (None, 256, 64, 64) 262400 res4j_out[0][0]
__________________________________________________________________________________________________
bn4k_branch2a (BatchNorm) (None, 256, 64, 64) 1024 res4k_branch2a[0][0]
__________________________________________________________________________________________________
activation_36 (Activation) (None, 256, 64, 64) 0 bn4k_branch2a[0][0]
__________________________________________________________________________________________________
res4k_branch2b (Conv2D) (None, 256, 64, 64) 590080 activation_36[0][0]
__________________________________________________________________________________________________
bn4k_branch2b (BatchNorm) (None, 256, 64, 64) 1024 res4k_branch2b[0][0]
__________________________________________________________________________________________________
activation_37 (Activation) (None, 256, 64, 64) 0 bn4k_branch2b[0][0]
__________________________________________________________________________________________________
res4k_branch2c (Conv2D) (None, 1024, 64, 64) 263168 activation_37[0][0]
__________________________________________________________________________________________________
bn4k_branch2c (BatchNorm) (None, 1024, 64, 64) 4096 res4k_branch2c[0][0]
__________________________________________________________________________________________________
add_18 (Add) (None, 1024, 64, 64) 0 bn4k_branch2c[0][0]
res4j_out[0][0]
__________________________________________________________________________________________________
res4k_out (Activation) (None, 1024, 64, 64) 0 add_18[0][0]
__________________________________________________________________________________________________
res4l_branch2a (Conv2D) (None, 256, 64, 64) 262400 res4k_out[0][0]
__________________________________________________________________________________________________
bn4l_branch2a (BatchNorm) (None, 256, 64, 64) 1024 res4l_branch2a[0][0]
__________________________________________________________________________________________________
activation_38 (Activation) (None, 256, 64, 64) 0 bn4l_branch2a[0][0]
__________________________________________________________________________________________________
res4l_branch2b (Conv2D) (None, 256, 64, 64) 590080 activation_38[0][0]
__________________________________________________________________________________________________
bn4l_branch2b (BatchNorm) (None, 256, 64, 64) 1024 res4l_branch2b[0][0]
__________________________________________________________________________________________________
activation_39 (Activation) (None, 256, 64, 64) 0 bn4l_branch2b[0][0]
__________________________________________________________________________________________________
res4l_branch2c (Conv2D) (None, 1024, 64, 64) 263168 activation_39[0][0]
__________________________________________________________________________________________________
bn4l_branch2c (BatchNorm) (None, 1024, 64, 64) 4096 res4l_branch2c[0][0]
__________________________________________________________________________________________________
add_19 (Add) (None, 1024, 64, 64) 0 bn4l_branch2c[0][0]
res4k_out[0][0]
__________________________________________________________________________________________________
res4l_out (Activation) (None, 1024, 64, 64) 0 add_19[0][0]
__________________________________________________________________________________________________
res4m_branch2a (Conv2D) (None, 256, 64, 64) 262400 res4l_out[0][0]
__________________________________________________________________________________________________
bn4m_branch2a (BatchNorm) (None, 256, 64, 64) 1024 res4m_branch2a[0][0]
__________________________________________________________________________________________________
activation_40 (Activation) (None, 256, 64, 64) 0 bn4m_branch2a[0][0]
__________________________________________________________________________________________________
res4m_branch2b (Conv2D) (None, 256, 64, 64) 590080 activation_40[0][0]
__________________________________________________________________________________________________
bn4m_branch2b (BatchNorm) (None, 256, 64, 64) 1024 res4m_branch2b[0][0]
__________________________________________________________________________________________________
activation_41 (Activation) (None, 256, 64, 64) 0 bn4m_branch2b[0][0]
__________________________________________________________________________________________________
res4m_branch2c (Conv2D) (None, 1024, 64, 64) 263168 activation_41[0][0]
__________________________________________________________________________________________________
bn4m_branch2c (BatchNorm) (None, 1024, 64, 64) 4096 res4m_branch2c[0][0]
__________________________________________________________________________________________________
add_20 (Add) (None, 1024, 64, 64) 0 bn4m_branch2c[0][0]
res4l_out[0][0]
__________________________________________________________________________________________________
res4m_out (Activation) (None, 1024, 64, 64) 0 add_20[0][0]
__________________________________________________________________________________________________
res4n_branch2a (Conv2D) (None, 256, 64, 64) 262400 res4m_out[0][0]
__________________________________________________________________________________________________
bn4n_branch2a (BatchNorm) (None, 256, 64, 64) 1024 res4n_branch2a[0][0]
__________________________________________________________________________________________________
activation_42 (Activation) (None, 256, 64, 64) 0 bn4n_branch2a[0][0]
__________________________________________________________________________________________________
res4n_branch2b (Conv2D) (None, 256, 64, 64) 590080 activation_42[0][0]
__________________________________________________________________________________________________
bn4n_branch2b (BatchNorm) (None, 256, 64, 64) 1024 res4n_branch2b[0][0]
__________________________________________________________________________________________________
activation_43 (Activation) (None, 256, 64, 64) 0 bn4n_branch2b[0][0]
__________________________________________________________________________________________________
res4n_branch2c (Conv2D) (None, 1024, 64, 64) 263168 activation_43[0][0]
__________________________________________________________________________________________________
bn4n_branch2c (BatchNorm) (None, 1024, 64, 64) 4096 res4n_branch2c[0][0]
__________________________________________________________________________________________________
add_21 (Add) (None, 1024, 64, 64) 0 bn4n_branch2c[0][0]
res4m_out[0][0]
__________________________________________________________________________________________________
res4n_out (Activation) (None, 1024, 64, 64) 0 add_21[0][0]
__________________________________________________________________________________________________
res4o_branch2a (Conv2D) (None, 256, 64, 64) 262400 res4n_out[0][0]
__________________________________________________________________________________________________
bn4o_branch2a (BatchNorm) (None, 256, 64, 64) 1024 res4o_branch2a[0][0]
__________________________________________________________________________________________________
activation_44 (Activation) (None, 256, 64, 64) 0 bn4o_branch2a[0][0]
__________________________________________________________________________________________________
res4o_branch2b (Conv2D) (None, 256, 64, 64) 590080 activation_44[0][0]
__________________________________________________________________________________________________
bn4o_branch2b (BatchNorm) (None, 256, 64, 64) 1024 res4o_branch2b[0][0]
__________________________________________________________________________________________________
activation_45 (Activation) (None, 256, 64, 64) 0 bn4o_branch2b[0][0]
__________________________________________________________________________________________________
res4o_branch2c (Conv2D) (None, 1024, 64, 64) 263168 activation_45[0][0]
__________________________________________________________________________________________________
bn4o_branch2c (BatchNorm) (None, 1024, 64, 64) 4096 res4o_branch2c[0][0]
__________________________________________________________________________________________________
add_22 (Add) (None, 1024, 64, 64) 0 bn4o_branch2c[0][0]
res4n_out[0][0]
__________________________________________________________________________________________________
res4o_out (Activation) (None, 1024, 64, 64) 0 add_22[0][0]
__________________________________________________________________________________________________
res4p_branch2a (Conv2D) (None, 256, 64, 64) 262400 res4o_out[0][0]
__________________________________________________________________________________________________
bn4p_branch2a (BatchNorm) (None, 256, 64, 64) 1024 res4p_branch2a[0][0]
__________________________________________________________________________________________________
activation_46 (Activation) (None, 256, 64, 64) 0 bn4p_branch2a[0][0]
__________________________________________________________________________________________________
res4p_branch2b (Conv2D) (None, 256, 64, 64) 590080 activation_46[0][0]
__________________________________________________________________________________________________
bn4p_branch2b (BatchNorm) (None, 256, 64, 64) 1024 res4p_branch2b[0][0]
__________________________________________________________________________________________________
activation_47 (Activation) (None, 256, 64, 64) 0 bn4p_branch2b[0][0]
__________________________________________________________________________________________________
res4p_branch2c (Conv2D) (None, 1024, 64, 64) 263168 activation_47[0][0]
__________________________________________________________________________________________________
bn4p_branch2c (BatchNorm) (None, 1024, 64, 64) 4096 res4p_branch2c[0][0]
__________________________________________________________________________________________________
add_23 (Add) (None, 1024, 64, 64) 0 bn4p_branch2c[0][0]
res4o_out[0][0]
__________________________________________________________________________________________________
res4p_out (Activation) (None, 1024, 64, 64) 0 add_23[0][0]
__________________________________________________________________________________________________
res4q_branch2a (Conv2D) (None, 256, 64, 64) 262400 res4p_out[0][0]
__________________________________________________________________________________________________
bn4q_branch2a (BatchNorm) (None, 256, 64, 64) 1024 res4q_branch2a[0][0]
__________________________________________________________________________________________________
activation_48 (Activation) (None, 256, 64, 64) 0 bn4q_branch2a[0][0]
__________________________________________________________________________________________________
res4q_branch2b (Conv2D) (None, 256, 64, 64) 590080 activation_48[0][0]
__________________________________________________________________________________________________
bn4q_branch2b (BatchNorm) (None, 256, 64, 64) 1024 res4q_branch2b[0][0]
__________________________________________________________________________________________________
activation_49 (Activation) (None, 256, 64, 64) 0 bn4q_branch2b[0][0]
__________________________________________________________________________________________________
res4q_branch2c (Conv2D) (None, 1024, 64, 64) 263168 activation_49[0][0]
__________________________________________________________________________________________________
bn4q_branch2c (BatchNorm) (None, 1024, 64, 64) 4096 res4q_branch2c[0][0]
__________________________________________________________________________________________________
add_24 (Add) (None, 1024, 64, 64) 0 bn4q_branch2c[0][0]
res4p_out[0][0]
__________________________________________________________________________________________________
res4q_out (Activation) (None, 1024, 64, 64) 0 add_24[0][0]
__________________________________________________________________________________________________
res4r_branch2a (Conv2D) (None, 256, 64, 64) 262400 res4q_out[0][0]
__________________________________________________________________________________________________
bn4r_branch2a (BatchNorm) (None, 256, 64, 64) 1024 res4r_branch2a[0][0]
__________________________________________________________________________________________________
activation_50 (Activation) (None, 256, 64, 64) 0 bn4r_branch2a[0][0]
__________________________________________________________________________________________________
res4r_branch2b (Conv2D) (None, 256, 64, 64) 590080 activation_50[0][0]
__________________________________________________________________________________________________
bn4r_branch2b (BatchNorm) (None, 256, 64, 64) 1024 res4r_branch2b[0][0]
__________________________________________________________________________________________________
activation_51 (Activation) (None, 256, 64, 64) 0 bn4r_branch2b[0][0]
__________________________________________________________________________________________________
res4r_branch2c (Conv2D) (None, 1024, 64, 64) 263168 activation_51[0][0]
__________________________________________________________________________________________________
bn4r_branch2c (BatchNorm) (None, 1024, 64, 64) 4096 res4r_branch2c[0][0]
__________________________________________________________________________________________________
add_25 (Add) (None, 1024, 64, 64) 0 bn4r_branch2c[0][0]
res4q_out[0][0]
__________________________________________________________________________________________________
res4r_out (Activation) (None, 1024, 64, 64) 0 add_25[0][0]
__________________________________________________________________________________________________
res4s_branch2a (Conv2D) (None, 256, 64, 64) 262400 res4r_out[0][0]
__________________________________________________________________________________________________
bn4s_branch2a (BatchNorm) (None, 256, 64, 64) 1024 res4s_branch2a[0][0]
__________________________________________________________________________________________________
activation_52 (Activation) (None, 256, 64, 64) 0 bn4s_branch2a[0][0]
__________________________________________________________________________________________________
res4s_branch2b (Conv2D) (None, 256, 64, 64) 590080 activation_52[0][0]
__________________________________________________________________________________________________
bn4s_branch2b (BatchNorm) (None, 256, 64, 64) 1024 res4s_branch2b[0][0]
__________________________________________________________________________________________________
activation_53 (Activation) (None, 256, 64, 64) 0 bn4s_branch2b[0][0]
__________________________________________________________________________________________________
res4s_branch2c (Conv2D) (None, 1024, 64, 64) 263168 activation_53[0][0]
__________________________________________________________________________________________________
bn4s_branch2c (BatchNorm) (None, 1024, 64, 64) 4096 res4s_branch2c[0][0]
__________________________________________________________________________________________________
add_26 (Add) (None, 1024, 64, 64) 0 bn4s_branch2c[0][0]
res4r_out[0][0]
__________________________________________________________________________________________________
res4s_out (Activation) (None, 1024, 64, 64) 0 add_26[0][0]
__________________________________________________________________________________________________
res4t_branch2a (Conv2D) (None, 256, 64, 64) 262400 res4s_out[0][0]
__________________________________________________________________________________________________
bn4t_branch2a (BatchNorm) (None, 256, 64, 64) 1024 res4t_branch2a[0][0]
__________________________________________________________________________________________________
activation_54 (Activation) (None, 256, 64, 64) 0 bn4t_branch2a[0][0]
__________________________________________________________________________________________________
res4t_branch2b (Conv2D) (None, 256, 64, 64) 590080 activation_54[0][0]
__________________________________________________________________________________________________
bn4t_branch2b (BatchNorm) (None, 256, 64, 64) 1024 res4t_branch2b[0][0]
__________________________________________________________________________________________________
activation_55 (Activation) (None, 256, 64, 64) 0 bn4t_branch2b[0][0]
__________________________________________________________________________________________________
res4t_branch2c (Conv2D) (None, 1024, 64, 64) 263168 activation_55[0][0]
__________________________________________________________________________________________________
bn4t_branch2c (BatchNorm) (None, 1024, 64, 64) 4096 res4t_branch2c[0][0]
__________________________________________________________________________________________________
add_27 (Add) (None, 1024, 64, 64) 0 bn4t_branch2c[0][0]
res4s_out[0][0]
__________________________________________________________________________________________________
res4t_out (Activation) (None, 1024, 64, 64) 0 add_27[0][0]
__________________________________________________________________________________________________
res4u_branch2a (Conv2D) (None, 256, 64, 64) 262400 res4t_out[0][0]
__________________________________________________________________________________________________
bn4u_branch2a (BatchNorm) (None, 256, 64, 64) 1024 res4u_branch2a[0][0]
__________________________________________________________________________________________________
activation_56 (Activation) (None, 256, 64, 64) 0 bn4u_branch2a[0][0]
__________________________________________________________________________________________________
res4u_branch2b (Conv2D) (None, 256, 64, 64) 590080 activation_56[0][0]
__________________________________________________________________________________________________
bn4u_branch2b (BatchNorm) (None, 256, 64, 64) 1024 res4u_branch2b[0][0]
__________________________________________________________________________________________________
activation_57 (Activation) (None, 256, 64, 64) 0 bn4u_branch2b[0][0]
__________________________________________________________________________________________________
res4u_branch2c (Conv2D) (None, 1024, 64, 64) 263168 activation_57[0][0]
__________________________________________________________________________________________________
bn4u_branch2c (BatchNorm) (None, 1024, 64, 64) 4096 res4u_branch2c[0][0]
__________________________________________________________________________________________________
add_28 (Add) (None, 1024, 64, 64) 0 bn4u_branch2c[0][0]
res4t_out[0][0]
__________________________________________________________________________________________________
res4u_out (Activation) (None, 1024, 64, 64) 0 add_28[0][0]
__________________________________________________________________________________________________
res4v_branch2a (Conv2D) (None, 256, 64, 64) 262400 res4u_out[0][0]
__________________________________________________________________________________________________
bn4v_branch2a (BatchNorm) (None, 256, 64, 64) 1024 res4v_branch2a[0][0]
__________________________________________________________________________________________________
activation_58 (Activation) (None, 256, 64, 64) 0 bn4v_branch2a[0][0]
__________________________________________________________________________________________________
res4v_branch2b (Conv2D) (None, 256, 64, 64) 590080 activation_58[0][0]
__________________________________________________________________________________________________
bn4v_branch2b (BatchNorm) (None, 256, 64, 64) 1024 res4v_branch2b[0][0]
__________________________________________________________________________________________________
activation_59 (Activation) (None, 256, 64, 64) 0 bn4v_branch2b[0][0]
__________________________________________________________________________________________________
res4v_branch2c (Conv2D) (None, 1024, 64, 64) 263168 activation_59[0][0]
__________________________________________________________________________________________________
bn4v_branch2c (BatchNorm) (None, 1024, 64, 64) 4096 res4v_branch2c[0][0]
__________________________________________________________________________________________________
add_29 (Add) (None, 1024, 64, 64) 0 bn4v_branch2c[0][0]
res4u_out[0][0]
__________________________________________________________________________________________________
res4v_out (Activation) (None, 1024, 64, 64) 0 add_29[0][0]
__________________________________________________________________________________________________
res4w_branch2a (Conv2D) (None, 256, 64, 64) 262400 res4v_out[0][0]
__________________________________________________________________________________________________
bn4w_branch2a (BatchNorm) (None, 256, 64, 64) 1024 res4w_branch2a[0][0]
__________________________________________________________________________________________________
activation_60 (Activation) (None, 256, 64, 64) 0 bn4w_branch2a[0][0]
__________________________________________________________________________________________________
res4w_branch2b (Conv2D) (None, 256, 64, 64) 590080 activation_60[0][0]
__________________________________________________________________________________________________
bn4w_branch2b (BatchNorm) (None, 256, 64, 64) 1024 res4w_branch2b[0][0]
__________________________________________________________________________________________________
activation_61 (Activation) (None, 256, 64, 64) 0 bn4w_branch2b[0][0]
__________________________________________________________________________________________________
res4w_branch2c (Conv2D) (None, 1024, 64, 64) 263168 activation_61[0][0]
__________________________________________________________________________________________________
bn4w_branch2c (BatchNorm) (None, 1024, 64, 64) 4096 res4w_branch2c[0][0]
__________________________________________________________________________________________________
add_30 (Add) (None, 1024, 64, 64) 0 bn4w_branch2c[0][0]
res4v_out[0][0]
__________________________________________________________________________________________________
res4w_out (Activation) (None, 1024, 64, 64) 0 add_30[0][0]
__________________________________________________________________________________________________
res5a_branch2a (Conv2D) (None, 512, 32, 32) 524800 res4w_out[0][0]
__________________________________________________________________________________________________
bn5a_branch2a (BatchNorm) (None, 512, 32, 32) 2048 res5a_branch2a[0][0]
__________________________________________________________________________________________________
activation_62 (Activation) (None, 512, 32, 32) 0 bn5a_branch2a[0][0]
__________________________________________________________________________________________________
res5a_branch2b (Conv2D) (None, 512, 32, 32) 2359808 activation_62[0][0]
__________________________________________________________________________________________________
bn5a_branch2b (BatchNorm) (None, 512, 32, 32) 2048 res5a_branch2b[0][0]
__________________________________________________________________________________________________
activation_63 (Activation) (None, 512, 32, 32) 0 bn5a_branch2b[0][0]
__________________________________________________________________________________________________
res5a_branch2c (Conv2D) (None, 2048, 32, 32) 1050624 activation_63[0][0]
__________________________________________________________________________________________________
res5a_branch1 (Conv2D) (None, 2048, 32, 32) 2099200 res4w_out[0][0]
__________________________________________________________________________________________________
bn5a_branch2c (BatchNorm) (None, 2048, 32, 32) 8192 res5a_branch2c[0][0]
__________________________________________________________________________________________________
bn5a_branch1 (BatchNorm) (None, 2048, 32, 32) 8192 res5a_branch1[0][0]
__________________________________________________________________________________________________
add_31 (Add) (None, 2048, 32, 32) 0 bn5a_branch2c[0][0]
bn5a_branch1[0][0]
__________________________________________________________________________________________________
res5a_out (Activation) (None, 2048, 32, 32) 0 add_31[0][0]
__________________________________________________________________________________________________
res5b_branch2a (Conv2D) (None, 512, 32, 32) 1049088 res5a_out[0][0]
__________________________________________________________________________________________________
bn5b_branch2a (BatchNorm) (None, 512, 32, 32) 2048 res5b_branch2a[0][0]
__________________________________________________________________________________________________
activation_64 (Activation) (None, 512, 32, 32) 0 bn5b_branch2a[0][0]
__________________________________________________________________________________________________
res5b_branch2b (Conv2D) (None, 512, 32, 32) 2359808 activation_64[0][0]
__________________________________________________________________________________________________
bn5b_branch2b (BatchNorm) (None, 512, 32, 32) 2048 res5b_branch2b[0][0]
__________________________________________________________________________________________________
activation_65 (Activation) (None, 512, 32, 32) 0 bn5b_branch2b[0][0]
__________________________________________________________________________________________________
res5b_branch2c (Conv2D) (None, 2048, 32, 32) 1050624 activation_65[0][0]
__________________________________________________________________________________________________
bn5b_branch2c (BatchNorm) (None, 2048, 32, 32) 8192 res5b_branch2c[0][0]
__________________________________________________________________________________________________
add_32 (Add) (None, 2048, 32, 32) 0 bn5b_branch2c[0][0]
res5a_out[0][0]
__________________________________________________________________________________________________
res5b_out (Activation) (None, 2048, 32, 32) 0 add_32[0][0]
__________________________________________________________________________________________________
res5c_branch2a (Conv2D) (None, 512, 32, 32) 1049088 res5b_out[0][0]
__________________________________________________________________________________________________
bn5c_branch2a (BatchNorm) (None, 512, 32, 32) 2048 res5c_branch2a[0][0]
__________________________________________________________________________________________________
activation_66 (Activation) (None, 512, 32, 32) 0 bn5c_branch2a[0][0]
__________________________________________________________________________________________________
res5c_branch2b (Conv2D) (None, 512, 32, 32) 2359808 activation_66[0][0]
__________________________________________________________________________________________________
bn5c_branch2b (BatchNorm) (None, 512, 32, 32) 2048 res5c_branch2b[0][0]
__________________________________________________________________________________________________
activation_67 (Activation) (None, 512, 32, 32) 0 bn5c_branch2b[0][0]
__________________________________________________________________________________________________
res5c_branch2c (Conv2D) (None, 2048, 32, 32) 1050624 activation_67[0][0]
__________________________________________________________________________________________________
bn5c_branch2c (BatchNorm) (None, 2048, 32, 32) 8192 res5c_branch2c[0][0]
__________________________________________________________________________________________________
add_33 (Add) (None, 2048, 32, 32) 0 bn5c_branch2c[0][0]
res5b_out[0][0]
__________________________________________________________________________________________________
res5c_out (Activation) (None, 2048, 32, 32) 0 add_33[0][0]
__________________________________________________________________________________________________
fpn_c5p5 (Conv2D) (None, 256, 32, 32) 524544 res5c_out[0][0]
__________________________________________________________________________________________________
fpn_p5upsampled (UpSampling2D) (None, 256, 64, 64) 0 fpn_c5p5[0][0]
__________________________________________________________________________________________________
fpn_c4p4 (Conv2D) (None, 256, 64, 64) 262400 res4w_out[0][0]
__________________________________________________________________________________________________
fpn_p4add (Add) (None, 256, 64, 64) 0 fpn_p5upsampled[0][0]
fpn_c4p4[0][0]
__________________________________________________________________________________________________
fpn_p4upsampled (UpSampling2D) (None, 256, 128, 128 0 fpn_p4add[0][0]
__________________________________________________________________________________________________
fpn_c3p3 (Conv2D) (None, 256, 128, 128 131328 res3d_out[0][0]
__________________________________________________________________________________________________
fpn_p3add (Add) (None, 256, 128, 128 0 fpn_p4upsampled[0][0]
fpn_c3p3[0][0]
__________________________________________________________________________________________________
fpn_p3upsampled (UpSampling2D) (None, 256, 256, 256 0 fpn_p3add[0][0]
__________________________________________________________________________________________________
fpn_c2p2 (Conv2D) (None, 256, 256, 256 65792 res2c_out[0][0]
__________________________________________________________________________________________________
fpn_p2add (Add) (None, 256, 256, 256 0 fpn_p3upsampled[0][0]
fpn_c2p2[0][0]
__________________________________________________________________________________________________
fpn_p5 (Conv2D) (None, 256, 32, 32) 590080 fpn_c5p5[0][0]
__________________________________________________________________________________________________
fpn_p2 (Conv2D) (None, 256, 256, 256 590080 fpn_p2add[0][0]
__________________________________________________________________________________________________
fpn_p3 (Conv2D) (None, 256, 128, 128 590080 fpn_p3add[0][0]
__________________________________________________________________________________________________
fpn_p4 (Conv2D) (None, 256, 64, 64) 590080 fpn_p4add[0][0]
__________________________________________________________________________________________________
fpn_p6 (MaxPooling2D) (None, 256, 16, 16) 0 fpn_p5[0][0]
__________________________________________________________________________________________________
rpn_model (Model) multiple 1189394 fpn_p2[0][0]
fpn_p3[0][0]
fpn_p4[0][0]
fpn_p5[0][0]
fpn_p6[0][0]
__________________________________________________________________________________________________
rpn_class (Concatenate) (None, 261888, 2) 0 rpn_model[1][1]
rpn_model[2][1]
rpn_model[3][1]
rpn_model[4][1]
rpn_model[5][1]
__________________________________________________________________________________________________
rpn_bbox (Concatenate) (None, 261888, 4) 0 rpn_model[1][2]
rpn_model[2][2]
rpn_model[3][2]
rpn_model[4][2]
rpn_model[5][2]
__________________________________________________________________________________________________
input_anchors (InputLayer) (None, None, 4) 0
__________________________________________________________________________________________________
ROI (ProposalLayer) (None, 1000, 4) 0 rpn_class[0][0]
rpn_bbox[0][0]
input_anchors[0][0]
__________________________________________________________________________________________________
input_image_meta (InputLayer) (None, 93) 0
__________________________________________________________________________________________________
roi_align_classifier (PyramidRO (None, 1000, 256, 7, 0 ROI[0][0]
input_image_meta[0][0]
fpn_p2[0][0]
fpn_p3[0][0]
fpn_p4[0][0]
fpn_p5[0][0]
__________________________________________________________________________________________________
mrcnn_class_conv1 (TimeDistribu (None, 1000, 1024, 1 12846080 roi_align_classifier[0][0]
__________________________________________________________________________________________________
mrcnn_class_bn1 (TimeDistribute (None, 1000, 1024, 1 4096 mrcnn_class_conv1[0][0]
__________________________________________________________________________________________________
activation_68 (Activation) (None, 1000, 1024, 1 0 mrcnn_class_bn1[0][0]
__________________________________________________________________________________________________
mrcnn_class_conv2 (TimeDistribu (None, 1000, 1024, 1 1049600 activation_68[0][0]
__________________________________________________________________________________________________
mrcnn_class_bn2 (TimeDistribute (None, 1000, 1024, 1 4096 mrcnn_class_conv2[0][0]
__________________________________________________________________________________________________
activation_69 (Activation) (None, 1000, 1024, 1 0 mrcnn_class_bn2[0][0]
__________________________________________________________________________________________________
pool_squeeze (Lambda) (None, 1000, 1024) 0 activation_69[0][0]
__________________________________________________________________________________________________
mrcnn_class_logits (TimeDistrib (None, 1000, 81) 83025 pool_squeeze[0][0]
__________________________________________________________________________________________________
mrcnn_bbox_fc (TimeDistributed) (None, 1000, 324) 332100 pool_squeeze[0][0]
__________________________________________________________________________________________________
mrcnn_class (TimeDistributed) (None, 1000, 81) 0 mrcnn_class_logits[0][0]
__________________________________________________________________________________________________
mrcnn_bbox (Reshape) (None, 1000, 81, 4) 0 mrcnn_bbox_fc[0][0]
__________________________________________________________________________________________________
mrcnn_detection (DetectionLayer (None, 100, 6) 0 ROI[0][0]
mrcnn_class[0][0]
mrcnn_bbox[0][0]
input_image_meta[0][0]
__________________________________________________________________________________________________
lambda_1 (Lambda) (None, 100, 4) 0 mrcnn_detection[0][0]
__________________________________________________________________________________________________
roi_align_mask (PyramidROIAlign (None, 100, 256, 14, 0 lambda_1[0][0]
input_image_meta[0][0]
fpn_p2[0][0]
fpn_p3[0][0]
fpn_p4[0][0]
fpn_p5[0][0]
__________________________________________________________________________________________________
mrcnn_mask_conv1 (TimeDistribut (None, 100, 256, 14, 590080 roi_align_mask[0][0]
__________________________________________________________________________________________________
mrcnn_mask_bn1 (TimeDistributed (None, 100, 256, 14, 1024 mrcnn_mask_conv1[0][0]
__________________________________________________________________________________________________
activation_71 (Activation) (None, 100, 256, 14, 0 mrcnn_mask_bn1[0][0]
__________________________________________________________________________________________________
mrcnn_mask_conv2 (TimeDistribut (None, 100, 256, 14, 590080 activation_71[0][0]
__________________________________________________________________________________________________
mrcnn_mask_bn2 (TimeDistributed (None, 100, 256, 14, 1024 mrcnn_mask_conv2[0][0]
__________________________________________________________________________________________________
activation_72 (Activation) (None, 100, 256, 14, 0 mrcnn_mask_bn2[0][0]
__________________________________________________________________________________________________
mrcnn_mask_conv3 (TimeDistribut (None, 100, 256, 14, 590080 activation_72[0][0]
__________________________________________________________________________________________________
mrcnn_mask_bn3 (TimeDistributed (None, 100, 256, 14, 1024 mrcnn_mask_conv3[0][0]
__________________________________________________________________________________________________
activation_73 (Activation) (None, 100, 256, 14, 0 mrcnn_mask_bn3[0][0]
__________________________________________________________________________________________________
mrcnn_mask_conv4 (TimeDistribut (None, 100, 256, 14, 590080 activation_73[0][0]
__________________________________________________________________________________________________
mrcnn_mask_bn4 (TimeDistributed (None, 100, 256, 14, 1024 mrcnn_mask_conv4[0][0]
__________________________________________________________________________________________________
activation_74 (Activation) (None, 100, 256, 14, 0 mrcnn_mask_bn4[0][0]
__________________________________________________________________________________________________
mrcnn_mask_deconv (TimeDistribu (None, 100, 256, 28, 262400 activation_74[0][0]
__________________________________________________________________________________________________
mrcnn_mask (TimeDistributed) (None, 100, 81, 28, 20817 mrcnn_mask_deconv[0][0]
==================================================================================================
Total params: 64,158,584
Trainable params: 64,047,096
Non-trainable params: 111,488
__________________________________________________________________________________________________
The output names of tensorflow graph nodes: ['mrcnn_mask/Reshape_1']
WARNING:tensorflow:From mrcnn_to_trt_single.py:145: convert_variables_to_constants (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.compat.v1.graph_util.convert_variables_to_constants`
WARNING:tensorflow:From /home/zhu/.local/lib/python3.6/site-packages/tensorflow/python/framework/graph_util_impl.py:270: extract_sub_graph (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.compat.v1.graph_util.extract_sub_graph`
WARNING:tensorflow:From /usr/lib/python3.6/dist-packages/uff/converters/tensorflow/conversion_helpers.py:227: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.
UFF Version 0.6.5
=== Automatically deduced input nodes ===
[name: "input_image"
op: "Placeholder"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "shape"
value {
shape {
dim {
size: -1
}
dim {
size: 3
}
dim {
size: 1024
}
dim {
size: 1024
}
}
}
}
]
=========================================
Using output node mrcnn_detection
Using output node mrcnn_mask/Sigmoid
Converting to UFF graph
Warning: No conversion function registered for layer: PyramidROIAlign_TRT yet.
Converting roi_align_mask_trt as custom op: PyramidROIAlign_TRT
Warning: No conversion function registered for layer: ResizeNearest_TRT yet.
Converting fpn_p5upsampled as custom op: ResizeNearest_TRT
Warning: No conversion function registered for layer: ResizeNearest_TRT yet.
Converting fpn_p4upsampled as custom op: ResizeNearest_TRT
Warning: No conversion function registered for layer: ResizeNearest_TRT yet.
Converting fpn_p3upsampled as custom op: ResizeNearest_TRT
Warning: No conversion function registered for layer: SpecialSlice_TRT yet.
Converting mrcnn_detection_bboxes as custom op: SpecialSlice_TRT
Warning: No conversion function registered for layer: DetectionLayer_TRT yet.
Converting mrcnn_detection as custom op: DetectionLayer_TRT
Warning: No conversion function registered for layer: ProposalLayer_TRT yet.
Converting ROI as custom op: ProposalLayer_TRT
Warning: keepdims is ignored by the UFF Parser and defaults to True
Warning: keepdims is ignored by the UFF Parser and defaults to True
Warning: keepdims is ignored by the UFF Parser and defaults to True
Warning: keepdims is ignored by the UFF Parser and defaults to True
Warning: keepdims is ignored by the UFF Parser and defaults to True
Warning: keepdims is ignored by the UFF Parser and defaults to True
Warning: keepdims is ignored by the UFF Parser and defaults to True
Warning: keepdims is ignored by the UFF Parser and defaults to True
Warning: keepdims is ignored by the UFF Parser and defaults to True
Warning: keepdims is ignored by the UFF Parser and defaults to True
Warning: No conversion function registered for layer: PyramidROIAlign_TRT yet.
Converting roi_align_classifier as custom op: PyramidROIAlign_TRT
DEBUG [/usr/lib/python3.6/dist-packages/uff/converters/tensorflow/converter.py:96] Marking ['mrcnn_detection', 'mrcnn_mask/Sigmoid'] as outputs
No. nodes: 3044
UFF Output written to /home/zhu/Mask_RCNN/data/mrcnn.uff
UFF Text Output written to /home/zhu/Mask_RCNN/data/mrcnn.pbtxt
I can find a mrcnn_nchw.pbtxt(1.1m) and mrcnn_nchw.uff(257m) in /data
And I do this command:
./sample_uff_maskRCNN --datadir /home/nvidia/Mask_RCNN/data/
But still errors:
&&&& RUNNING TensorRT.sample_maskrcnn # ./sample_uff_maskRCNN --datadir /home/nvidia/Mask_RCNN/data/
[03/08/2020-10:24:49] [I] Building and running a GPU inference engine for Mask RCNN
[03/08/2020-10:24:56] [E] [TRT] UffParser: Validator error: roi_align_mask_trt: Unsupported operation _PyramidROIAlign_TRT
&&&& FAILED TensorRT.sample_maskrcnn
# ./sample_uff_maskRCNN --datadir /home/nvidia/Mask_RCNN/data/
How can solve it?