system: windows10
GPU type : RTX 2080 Ti
nvidia driver version: 24.21.14.1131
CUDA version: 10.0
CUDNN version: 7.5
Python version [if using python]
Tensorflow version
TensorRT version: 5.1.5
If Jetson, OS, hw versions
Using float32 and float16 models, I was able to detect 66% of the targets. I tested the accuracy of using the int8 model, but did not detect any targets.
I have 13,000 pictures in my training set, and 1600 of them are used to calibrate model. Am I doing something wrong?
this is my calibrate tabel file :
TRT-5105-EntropyCalibration2
data_01: 3c010a14
adjusted_input: 3c010a14
convolution_output: 3d104a20
batch_norm_output_buffer: 3d196725
conv1_bn_cond_Merge_0: 3d196725
TFNodes27_conv1_relu_Relu6_0: 3d418f1e
adjusted_input1: 3d418f1e
convolution_output1: 3f35753f
batch_norm_output_buffer1: 3db25539
conv_dw_1_bn_cond_Merge_0: 3db25539
TFNodes25_conv_dw_1_relu_Relu6_0: 3d418f1e
adjusted_input2: 3d418f1e
convolution_output2: 3e064754
batch_norm_output_buffer2: 3e60d4ef
conv_pw_1_bn_cond_Merge_0: 3e60d4ef
TFNodes23_conv_pw_1_relu_Relu6_0: 3d418f1e
adjusted_input3: 3d418f1e
convolution_output3: 3f1f8e4f
batch_norm_output_buffer3: 3d50182d
conv_dw_2_bn_cond_Merge_0: 3d50182d
TFNodes21_conv_dw_2_relu_Relu6_0: 3d3d7efe
adjusted_input4: 3d3d7efe
convolution_output4: 3e4457d0
batch_norm_output_buffer4: 3dac0363
conv_pw_2_bn_cond_Merge_0: 3dac0363
TFNodes19_conv_pw_2_relu_Relu6_0: 3d418f1e
adjusted_input5: 3d418f1e
convolution_output5: 3ecbb583
batch_norm_output_buffer5: 3dfdb539
conv_dw_3_bn_cond_Merge_0: 3dfdb539
TFNodes17_conv_dw_3_relu_Relu6_0: 3d418f1e
adjusted_input6: 3d418f1e
convolution_output6: 3e2e3029
batch_norm_output_buffer6: 3e1feeb0
conv_pw_3_bn_cond_Merge_0: 3e1feeb0
TFNodes15_conv_pw_3_relu_Relu6_0: 3d418f1e
adjusted_input7: 3d418f1e
convolution_output7: 3efa4d04
batch_norm_output_buffer7: 3d5bc84e
conv_dw_4_bn_cond_Merge_0: 3d5bc84e
TFNodes13_conv_dw_4_relu_Relu6_0: 3d418f1e
adjusted_input8: 3d418f1e
convolution_output8: 3e24189d
batch_norm_output_buffer8: 3de43b45
conv_pw_4_bn_cond_Merge_0: 3de43b45
TFNodes10_conv_pw_4_relu_Relu6_0: 3d418f1e
adjusted_input9: 3d418f1e
convolution_output9: 3eb0ca0f
batch_norm_output_buffer9: 3de49d60
conv_dw_5_bn_cond_Merge_0: 3de49d60
TFNodes7_conv_dw_5_relu_Relu6_0: 3d418f1e
adjusted_input10: 3d418f1e
convolution_output10: 3e4ce2c4
batch_norm_output_buffer10: 3dc4ac89
conv_pw_5_bn_cond_Merge_0: 3dc4ac89
TFNodes4_conv_pw_5_relu_Relu6_0: 3d418f1e
conv_pw_5_relu_Relu6_0: 3d418f1e
TFNodes2_conv_pw_5_relu_Relu6_0: 3d434c4b
adjusted_input11: 3d418f1e
convolution_output11: 3ea374a0
batch_norm_output_buffer11: 3de8ad63
conv_dw_6_bn_cond_Merge_0: 3de8ad63
TFNodes28_conv_dw_6_relu_Relu6_0: 3d418f1e
adjusted_input12: 3d418f1e
convolution_output12: 3e585711
batch_norm_output_buffer12: 3d97998d
conv_pw_6_bn_cond_Merge_0: 3d97998d
TFNodes26_conv_pw_6_relu_Relu6_0: 3d418f1e
adjusted_input13: 3d418f1e
convolution_output13: 3e51253f
batch_norm_output_buffer13: 3e160fd4
conv_dw_7_bn_cond_Merge_0: 3e160fd4
TFNodes24_conv_dw_7_relu_Relu6_0: 3d418f1e
adjusted_input14: 3d418f1e
convolution_output14: 3ed402a0
batch_norm_output_buffer14: 3da036e5
conv_pw_7_bn_cond_Merge_0: 3da036e5
TFNodes22_conv_pw_7_relu_Relu6_0: 3d418f1e
adjusted_input15: 3d418f1e
convolution_output15: 3e55a63f
batch_norm_output_buffer15: 3d928602
conv_dw_8_bn_cond_Merge_0: 3d928602
TFNodes20_conv_dw_8_relu_Relu6_0: 3d418f1e
adjusted_input16: 3d418f1e
convolution_output16: 3e9117a6
batch_norm_output_buffer16: 3d8bce2b
conv_pw_8_bn_cond_Merge_0: 3d8bce2b
TFNodes18_conv_pw_8_relu_Relu6_0: 3d418f1e
adjusted_input17: 3d418f1e
convolution_output17: 3e34442d
batch_norm_output_buffer17: 3d66e0a0
conv_dw_9_bn_cond_Merge_0: 3d66e0a0
TFNodes16_conv_dw_9_relu_Relu6_0: 3d343c79
adjusted_input18: 3d343c79
convolution_output18: 3e6d0dae
batch_norm_output_buffer18: 3db2d7b0
conv_pw_9_bn_cond_Merge_0: 3db2d7b0
TFNodes14_conv_pw_9_relu_Relu6_0: 3d418f1e
adjusted_input19: 3d418f1e
convolution_output19: 3e72c9f0
batch_norm_output_buffer19: 3d672661
conv_dw_10_bn_cond_Merge_0: 3d672661
TFNodes12_conv_dw_10_relu_Relu6_0: 3d34e5cc
adjusted_input20: 3d34e5cc
convolution_output20: 3e755352
batch_norm_output_buffer20: 3d9a0cb1
conv_pw_10_bn_cond_Merge_0: 3d9a0cb1
TFNodes9_conv_pw_10_relu_Relu6_0: 3d418f1e
adjusted_input21: 3d418f1e
convolution_output21: 3e26f411
batch_norm_output_buffer21: 3d30eeae
conv_dw_11_bn_cond_Merge_0: 3d30eeae
TFNodes6_conv_dw_11_relu_Relu6_0: 3d2db76f
adjusted_input22: 3d2db76f
convolution_output22: 3e7369e6
batch_norm_output_buffer22: 3d914a70
conv_pw_11_bn_cond_Merge_0: 3d914a70
TFNodes3_conv_pw_11_relu_Relu6_0: 3d418f1e
conv_pw_11_relu_Relu6_0: 3d418f1e
TFNodes1_conv_pw_11_relu_Relu6_0: 3cb172e6
adjusted_input23: 3d418f1e
convolution_output23: 3e1d1cdc
batch_norm_output_buffer23: 3d3cec91
conv_dw_12_bn_cond_Merge_0: 3d3cec91
TFNodes11_conv_dw_12_relu_Relu6_0: 3d25060c
adjusted_input24: 3d25060c
convolution_output24: 3ecd4d8e
batch_norm_output_buffer24: 3d966c2c
conv_pw_12_bn_cond_Merge_0: 3d966c2c
TFNodes8_conv_pw_12_relu_Relu6_0: 3d418f1e
adjusted_input25: 3d418f1e
convolution_output25: 3e1be95c
batch_norm_output_buffer25: 3dd53966
conv_dw_13_bn_cond_Merge_0: 3dd53966
TFNodes5_conv_dw_13_relu_Relu6_0: 3d04fdfc
adjusted_input26: 3d04fdfc
convolution_output26: 3f110931
batch_norm_output_buffer26: 3e61b42a
conv_pw_13_bn_cond_Merge_0: 3e61b42a
TFNodes_conv_pw_13_relu_Relu6_0: 3d418f1e
adjusted_input27: 3d418f1e
convolution_output27: 3da8840c
batch_norm_output_buffer27: 3d58656c
leaky_re_lu_1_LeakyRelu_0: 3c9452e6
convolution_output28: 3d58bf5a
batch_norm_output_buffer28: 3d7a2e26
leaky_re_lu_2_LeakyRelu_0: 3c8a1ce6
convolution_output29: 3d0634c7
batch_norm_output_buffer29: 3ce929da
leaky_re_lu_3_LeakyRelu_0: 3ca32b43
convolution_output30: 3db6c7ce
batch_norm_output_buffer30: 3d3c3561
leaky_re_lu_4_LeakyRelu_0: 3cbb6ce6
convolution_output31: 3d90291f
batch_norm_output_buffer31: 3c9138dc
leaky_re_lu_5_LeakyRelu_0: 3c9f5d14
convolution_output32: 3bf03652
convolution_output33: 3d2ac607
batch_norm_output_buffer32: 3c772a00
batch_norm_output_buffer33: 3d1ba09c
leaky_re_lu_7_LeakyRelu_0: 3c16354b
leaky_re_lu_6_LeakyRelu_0: 3c643df9
leaky_re_lu_7_LeakyRelu_0_permuted_upsampled: 3c16354b
up_sampling2d_1_ResizeNearestNeighbor_0: 3cb172e6
convolution_output34: 3df1e2e6
transpose_output34: 3df1e2e6
conv2d_7_BiasAdd_0: 3df1e2e6
TFNodes1_concatenate_1_concat_0: 3cb172e6
adjusted_input35: 3cb172e6
convolution_output35: 3d68abc5
batch_norm_output_buffer34: 3c9165e2
leaky_re_lu_8_LeakyRelu_0: 3cd3e4dc
convolution_output36: 3d6aff00
batch_norm_output_buffer35: 3d252ad3
leaky_re_lu_9_LeakyRelu_0: 3c8f2188
convolution_output37: 3d95936e
batch_norm_output_buffer36: 3d06b744
leaky_re_lu_10_LeakyRelu_0: 3cd64ad0
convolution_output38: 3da82988
batch_norm_output_buffer37: 3d07f66d
leaky_re_lu_11_LeakyRelu_0: 3ce06f1d
convolution_output39: 3d89df3c
batch_norm_output_buffer38: 3ca743d8
leaky_re_lu_12_LeakyRelu_0: 3ccfc76e
convolution_output40: 3d055392
convolution_output41: 3d1792d6
batch_norm_output_buffer39: 3cc963cf
batch_norm_output_buffer40: 3d06623a
leaky_re_lu_14_LeakyRelu_0: 3cf4642a
leaky_re_lu_13_LeakyRelu_0: 3c8a26c7
leaky_re_lu_14_LeakyRelu_0_permuted_upsampled: 3cf4642a
up_sampling2d_2_ResizeNearestNeighbor_0: 3d434c4b
convolution_output42: 3e1c264f
transpose_output42: 3e1c264f
conv2d_15_BiasAdd_0: 3e1c264f
TFNodes2_concatenate_2_concat_0: 3d434c4b
adjusted_input43: 3d434c4b
convolution_output43: 3dadada3
batch_norm_output_buffer41: 3d2526b1
leaky_re_lu_15_LeakyRelu_0: 3d0ddd18
convolution_output44: 3d81fda1
batch_norm_output_buffer42: 3d1fa059
leaky_re_lu_16_LeakyRelu_0: 3d135cb5
convolution_output45: 3d443e7b
batch_norm_output_buffer43: 3d45fb05
leaky_re_lu_17_LeakyRelu_0: 3d44c131
convolution_output46: 3dba53d1
batch_norm_output_buffer44: 3d28a942
leaky_re_lu_18_LeakyRelu_0: 3d1ced9f
convolution_output47: 3db68d38
batch_norm_output_buffer45: 3ce1201a
leaky_re_lu_19_LeakyRelu_0: 3ced96cf
convolution_output48: 3d64c86a
batch_norm_output_buffer46: 3d27237b
leaky_re_lu_20_LeakyRelu_0: 3c9ce4a5
convolution_output49: 3e208b42
transpose_output49: 3e208b42
conv2d_23_BiasAdd_0: 3e208b42