Sure. But I don’t known how to upload the file as an attachment, even after reading Attaching Files to Forum Topics/Posts.
Sorry for pasting the file here.
— begin
random_seed: 42
yolov4_config {
big_anchor_shape: “[(114.94, 60.67), (159.06, 114.59), (297.59, 176.38)]”
mid_anchor_shape: “[(42.99, 31.91), (79.57, 31.75), (56.80, 56.93)]”
small_anchor_shape: “[(15.60, 13.88), (30.25, 20.25), (20.67, 49.63)]”
box_matching_iou: 0.25
matching_neutral_box_iou: 0.5
arch: “resnet”
nlayers: 18
arch_conv_blocks: 2
loss_loc_weight: 0.8
loss_neg_obj_weights: 100.0
loss_class_weights: 0.5
label_smoothing: 0.0
big_grid_xy_extend: 0.05
mid_grid_xy_extend: 0.1
small_grid_xy_extend: 0.2
freeze_bn: false
#freeze_blocks: 0
force_relu: false
}
training_config {
batch_size_per_gpu: 8
num_epochs: 80
enable_qat: false
checkpoint_interval: 10
learning_rate {
soft_start_cosine_annealing_schedule {
min_learning_rate: 1e-7
max_learning_rate: 1e-4
soft_start: 0.3
}
}
regularizer {
type: NO_REG
weight: 3e-9
}
optimizer {
adam {
epsilon: 1e-7
beta1: 0.9
beta2: 0.999
amsgrad: false
}
}
pruned_model_path: “/workspace/tao-experiments/yolo_v4/experiment_dir_pruned/yolov4_resnet18_pruned.tlt”
}
eval_config {
average_precision_mode: SAMPLE
batch_size: 1
matching_iou_threshold: 0.5
}
nms_config {
confidence_threshold: 0.001
clustering_iou_threshold: 0.5
top_k: 200
force_on_cpu: true
}
augmentation_config {
hue: 0.1
saturation: 1.5
exposure:1.5
vertical_flip:0
horizontal_flip: 0.5
jitter: 0.3
output_width: 1248
output_height: 384
output_channel: 3
randomize_input_shape_period: 0
mosaic_prob: 0.5
mosaic_min_ratio:0.2
}
dataset_config {
data_sources: {
tfrecords_path: “/workspace/tao-experiments/data/training/tfrecords/train*”
image_directory_path: “/workspace/tao-experiments/data/training”
}
include_difficult_in_training: true
image_extension: “png”
target_class_mapping {
key: “car”
value: “car”
}
target_class_mapping {
key: “pedestrian”
value: “pedestrian”
}
target_class_mapping {
key: “cyclist”
value: “cyclist”
}
target_class_mapping {
key: “van”
value: “car”
}
target_class_mapping {
key: “person_sitting”
value: “pedestrian”
}
validation_data_sources: {
tfrecords_path: “/workspace/tao-experiments/data/val/tfrecords/val*”
image_directory_path: “/workspace/tao-experiments/data/val”
}
}
— end