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Update YOLOv3_ENHANCEMENT.md (PaddlePaddle#206)
* update YOLOv3_ENHANCEMENT.md * update IoUloss and DropBlock configs for YOLOv3 related configs
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,104 @@ | ||
| TrainReader: | ||
| inputs_def: | ||
| fields: ['image', 'gt_bbox', 'gt_class', 'gt_score'] | ||
| num_max_boxes: 50 | ||
| use_fine_grained_loss: true | ||
| dataset: | ||
| !COCODataSet | ||
| image_dir: train2017 | ||
| anno_path: annotations/instances_train2017.json | ||
| dataset_dir: dataset/coco | ||
| with_background: false | ||
| sample_transforms: | ||
| - !DecodeImage | ||
| to_rgb: True | ||
| - !RandomCrop {} | ||
| - !RandomFlipImage | ||
| is_normalized: false | ||
| - !NormalizeBox {} | ||
| - !PadBox | ||
| num_max_boxes: 50 | ||
| - !BboxXYXY2XYWH {} | ||
| batch_transforms: | ||
| - !RandomShape | ||
| sizes: [320, 352, 384, 416, 448, 480, 512, 544, 576, 608] | ||
| random_inter: True | ||
| - !NormalizeImage | ||
| mean: [0.485, 0.456, 0.406] | ||
| std: [0.229, 0.224, 0.225] | ||
| is_scale: False | ||
| is_channel_first: false | ||
| - !Permute | ||
| to_bgr: false | ||
| channel_first: True | ||
| # Gt2YoloTarget is only used when use_fine_grained_loss set as true, | ||
| # this operator will be deleted automatically if use_fine_grained_loss | ||
| # is set as false | ||
| - !Gt2YoloTarget | ||
| anchor_masks: [[6, 7, 8], [3, 4, 5], [0, 1, 2]] | ||
| anchors: [[10, 13], [16, 30], [33, 23], | ||
| [30, 61], [62, 45], [59, 119], | ||
| [116, 90], [156, 198], [373, 326]] | ||
| downsample_ratios: [32, 16, 8] | ||
| batch_size: 8 | ||
| shuffle: true | ||
| drop_last: true | ||
| worker_num: 8 | ||
| bufsize: 32 | ||
| use_process: true | ||
|
|
||
| EvalReader: | ||
| inputs_def: | ||
| image_shape: [3, 608, 608] | ||
| fields: ['image', 'im_size', 'im_id'] | ||
| num_max_boxes: 50 | ||
| dataset: | ||
| !COCODataSet | ||
| dataset_dir: dataset/coco | ||
| anno_path: annotations/instances_val2017.json | ||
| image_dir: val2017 | ||
| with_background: false | ||
| sample_transforms: | ||
| - !DecodeImage | ||
| to_rgb: True | ||
| with_mixup: false | ||
| - !ResizeImage | ||
| interp: 2 | ||
| target_size: 608 | ||
| - !NormalizeImage | ||
| mean: [0.485, 0.456, 0.406] | ||
| std: [0.229, 0.224, 0.225] | ||
| is_scale: False | ||
| is_channel_first: false | ||
| - !Permute | ||
| to_bgr: false | ||
| channel_first: True | ||
| batch_size: 8 | ||
| drop_empty: false | ||
| worker_num: 8 | ||
| bufsize: 32 | ||
|
|
||
| TestReader: | ||
| inputs_def: | ||
| image_shape: [3, 608, 608] | ||
| fields: ['image', 'im_size', 'im_id'] | ||
| dataset: | ||
| !ImageFolder | ||
| anno_path: annotations/instances_val2017.json | ||
| with_background: false | ||
| sample_transforms: | ||
| - !DecodeImage | ||
| to_rgb: True | ||
| with_mixup: false | ||
| - !ResizeImage | ||
| interp: 2 | ||
| target_size: 608 | ||
| - !NormalizeImage | ||
| mean: [0.485, 0.456, 0.406] | ||
| std: [0.229, 0.224, 0.225] | ||
| is_scale: False | ||
| is_channel_first: false | ||
| - !Permute | ||
| to_bgr: false | ||
| channel_first: True | ||
| batch_size: 1 |
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configs/dcn/yolov3_r50vd_dcn_db_obj365_pretrained_coco.yml
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,70 @@ | ||
| architecture: YOLOv3 | ||
| use_gpu: true | ||
| max_iters: 85000 | ||
| log_smooth_window: 20 | ||
| save_dir: output | ||
| snapshot_iter: 10000 | ||
| metric: COCO | ||
| pretrain_weights: https://paddlemodels.bj.bcebos.com/object_detection/ResNet50_vd_dcn_db_obj365_pretrained.tar | ||
| weights: output/yolov3_r50vd_dcn_db_obj365_pretrained_coco/model_final | ||
| num_classes: 80 | ||
| use_fine_grained_loss: true | ||
|
|
||
| YOLOv3: | ||
| backbone: ResNet | ||
| yolo_head: YOLOv3Head | ||
| use_fine_grained_loss: true | ||
|
|
||
| ResNet: | ||
| norm_type: sync_bn | ||
| freeze_at: 0 | ||
| freeze_norm: false | ||
| norm_decay: 0. | ||
| depth: 50 | ||
| feature_maps: [3, 4, 5] | ||
| variant: d | ||
| dcn_v2_stages: [5] | ||
|
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||
| YOLOv3Head: | ||
| anchor_masks: [[6, 7, 8], [3, 4, 5], [0, 1, 2]] | ||
| anchors: [[10, 13], [16, 30], [33, 23], | ||
| [30, 61], [62, 45], [59, 119], | ||
| [116, 90], [156, 198], [373, 326]] | ||
| norm_decay: 0. | ||
| yolo_loss: YOLOv3Loss | ||
| nms: | ||
| background_label: -1 | ||
| keep_top_k: 100 | ||
| nms_threshold: 0.45 | ||
| nms_top_k: 1000 | ||
| normalized: false | ||
| score_threshold: 0.01 | ||
| drop_block: true | ||
|
|
||
| YOLOv3Loss: | ||
| batch_size: 8 | ||
| ignore_thresh: 0.7 | ||
| label_smooth: false | ||
| use_fine_grained_loss: true | ||
|
|
||
| LearningRate: | ||
| base_lr: 0.001 | ||
| schedulers: | ||
| - !PiecewiseDecay | ||
| gamma: 0.1 | ||
| milestones: | ||
| - 55000 | ||
| - 75000 | ||
| - !LinearWarmup | ||
| start_factor: 0. | ||
| steps: 4000 | ||
|
|
||
| OptimizerBuilder: | ||
| optimizer: | ||
| momentum: 0.9 | ||
| type: Momentum | ||
| regularizer: | ||
| factor: 0.0005 | ||
| type: L2 | ||
|
|
||
| _READER_: 'yolov3_enhance_reader.yml' |
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