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 loss_loc_weight: 1.0 loss_neg_obj_weights: 1.0 loss_class_weights: 1.0 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: L1 weight: 3e-5 } optimizer { adam { epsilon: 1e-7 beta1: 0.9 beta2: 0.999 amsgrad: false } } visualizer { enabled: true num_images: 10 } } eval_config { average_precision_mode: SAMPLE batch_size: 8 matching_iou_threshold: 0.5 } nms_config { confidence_threshold: 0.001 clustering_iou_threshold: 0.5 top_k: 200 } augmentation_config { hue: 0.1 saturation: 1.5 exposure:1.5 vertical_flip:0.5 horizontal_flip: 0.5 jitter: 0.3 output_width: 512 output_height: 288 output_channel: 3 randomize_input_shape_period: 0 mosaic_prob: 0.5 mosaic_min_ratio: 0.1 image_mean { key: 'b' value: 103.9 } image_mean { key: 'g' value: 116.8 } image_mean { key: 'r' value: 123.7 } } dataset_config { data_sources: { label_directory_path: "/workspace/tao4/data/training/label_2" image_directory_path: "/workspace/tao4/data/training/image_2" } include_difficult_in_training: true image_extension: "png" target_class_mapping { key: "xxx" value: "xxx" } validation_data_sources: { label_directory_path: "/workspace/tao4/data/validation/label_2" image_directory_path: "/workspace/tao4/data/validation/image_2" } }