From 8f79fd39094176878d65e9c13be4fc0a05efd45c Mon Sep 17 00:00:00 2001 From: wangxinxin08 <69842442+wangxinxin08@users.noreply.github.com> Date: Sun, 25 Apr 2021 15:14:32 +0800 Subject: [PATCH] refine yolov3 configs (#2756) * refine yolov3 configs * fix dataset problem --- configs/datasets/roadsign_voc.yml | 2 +- .../yolov3/yolov3_mobilenet_v1_270e_voc.yml | 31 ----------------- .../yolov3/yolov3_mobilenet_v1_roadsign.yml | 33 ------------------- .../yolov3_mobilenet_v1_ssld_270e_voc.yml | 33 +------------------ .../yolov3_mobilenet_v3_large_270e_voc.yml | 31 ----------------- ...olov3_mobilenet_v3_large_ssld_270e_voc.yml | 33 +------------------ 6 files changed, 3 insertions(+), 160 deletions(-) diff --git a/configs/datasets/roadsign_voc.yml b/configs/datasets/roadsign_voc.yml index 10ce3090e..ddbfc7889 100644 --- a/configs/datasets/roadsign_voc.yml +++ b/configs/datasets/roadsign_voc.yml @@ -1,5 +1,5 @@ metric: VOC -map_type: 11point +map_type: integral num_classes: 4 TrainDataset: diff --git a/configs/yolov3/yolov3_mobilenet_v1_270e_voc.yml b/configs/yolov3/yolov3_mobilenet_v1_270e_voc.yml index a6b2303f9..7b25cd0e3 100644 --- a/configs/yolov3/yolov3_mobilenet_v1_270e_voc.yml +++ b/configs/yolov3/yolov3_mobilenet_v1_270e_voc.yml @@ -9,37 +9,6 @@ _BASE_: [ snapshot_epoch: 5 weights: output/yolov3_mobilenet_v1_270e_voc/model_final -TrainReader: - inputs_def: - num_max_boxes: 50 - sample_transforms: - - Decode: {} - - Mixup: {alpha: 1.5, beta: 1.5} - - RandomDistort: {} - - RandomExpand: {fill_value: [123.675, 116.28, 103.53]} - - RandomCrop: {} - - RandomFlip: {} - batch_transforms: - - BatchRandomResize: - target_size: [320, 352, 384, 416, 448, 480, 512, 544, 576, 608] - random_size: True - random_interp: True - keep_ratio: False - - NormalizeBox: {} - - PadBox: {num_max_boxes: 50} - - BboxXYXY2XYWH: {} - - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True} - - Permute: {} - - 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] - num_classes: 20 - batch_size: 8 - shuffle: true - drop_last: true - mixup_epoch: 250 - LearningRate: base_lr: 0.001 schedulers: diff --git a/configs/yolov3/yolov3_mobilenet_v1_roadsign.yml b/configs/yolov3/yolov3_mobilenet_v1_roadsign.yml index c79397ddd..d89937524 100644 --- a/configs/yolov3/yolov3_mobilenet_v1_roadsign.yml +++ b/configs/yolov3/yolov3_mobilenet_v1_roadsign.yml @@ -5,45 +5,12 @@ _BASE_: [ '_base_/yolov3_reader.yml', ] pretrain_weights: https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_coco.pdparams -norm_type: sync_bn weights: output/yolov3_mobilenet_v1_roadsign/model_final -metric: VOC -map_type: integral YOLOv3Loss: ignore_thresh: 0.7 label_smooth: true -TrainReader: - inputs_def: - num_max_boxes: 50 - sample_transforms: - - Decode: {} - - Mixup: {alpha: 1.5, beta: 1.5} - - RandomDistort: {} - - RandomExpand: {fill_value: [123.675, 116.28, 103.53]} - - RandomCrop: {} - - RandomFlip: {} - batch_transforms: - - BatchRandomResize: - target_size: [320, 352, 384, 416, 448, 480, 512, 544, 576, 608] - random_size: True - random_interp: True - keep_ratio: False - - NormalizeBox: {} - - PadBox: {num_max_boxes: 50} - - BboxXYXY2XYWH: {} - - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True} - - Permute: {} - - 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] - num_classes: 4 - batch_size: 8 - shuffle: true - drop_last: true - snapshot_epoch: 2 epoch: 40 diff --git a/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_voc.yml b/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_voc.yml index 37cce342a..7a3e62fa1 100644 --- a/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_voc.yml +++ b/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_voc.yml @@ -1,5 +1,5 @@ _BASE_: [ - '../datasets/coco_detection.yml', + '../datasets/voc.yml', '../runtime.yml', '_base_/optimizer_270e.yml', '_base_/yolov3_mobilenet_v1.yml', @@ -10,37 +10,6 @@ snapshot_epoch: 5 pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/MobileNetV1_ssld_pretrained.pdparams weights: output/yolov3_mobilenet_v1_ssld_270e_voc/model_final -TrainReader: - inputs_def: - num_max_boxes: 50 - sample_transforms: - - Decode: {} - - Mixup: {alpha: 1.5, beta: 1.5} - - RandomDistort: {} - - RandomExpand: {fill_value: [123.675, 116.28, 103.53]} - - RandomCrop: {} - - RandomFlip: {} - batch_transforms: - - BatchRandomResize: - target_size: [320, 352, 384, 416, 448, 480, 512, 544, 576, 608] - random_size: True - random_interp: True - keep_ratio: False - - NormalizeBox: {} - - PadBox: {num_max_boxes: 50} - - BboxXYXY2XYWH: {} - - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True} - - Permute: {} - - 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] - num_classes: 20 - batch_size: 8 - shuffle: true - drop_last: true - mixup_epoch: 250 - LearningRate: base_lr: 0.001 schedulers: diff --git a/configs/yolov3/yolov3_mobilenet_v3_large_270e_voc.yml b/configs/yolov3/yolov3_mobilenet_v3_large_270e_voc.yml index 5725accb7..abf492e23 100644 --- a/configs/yolov3/yolov3_mobilenet_v3_large_270e_voc.yml +++ b/configs/yolov3/yolov3_mobilenet_v3_large_270e_voc.yml @@ -9,37 +9,6 @@ _BASE_: [ snapshot_epoch: 5 weights: output/yolov3_mobilenet_v3_large_270e_voc/model_final -TrainReader: - inputs_def: - num_max_boxes: 50 - sample_transforms: - - Decode: {} - - Mixup: {alpha: 1.5, beta: 1.5} - - RandomDistort: {} - - RandomExpand: {fill_value: [123.675, 116.28, 103.53]} - - RandomCrop: {} - - RandomFlip: {} - batch_transforms: - - BatchRandomResize: - target_size: [320, 352, 384, 416, 448, 480, 512, 544, 576, 608] - random_size: True - random_interp: True - keep_ratio: False - - NormalizeBox: {} - - PadBox: {num_max_boxes: 50} - - BboxXYXY2XYWH: {} - - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True} - - Permute: {} - - 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] - num_classes: 20 - batch_size: 8 - shuffle: true - drop_last: true - mixup_epoch: 250 - LearningRate: base_lr: 0.001 schedulers: diff --git a/configs/yolov3/yolov3_mobilenet_v3_large_ssld_270e_voc.yml b/configs/yolov3/yolov3_mobilenet_v3_large_ssld_270e_voc.yml index 3099703b8..6d183e3e2 100644 --- a/configs/yolov3/yolov3_mobilenet_v3_large_ssld_270e_voc.yml +++ b/configs/yolov3/yolov3_mobilenet_v3_large_ssld_270e_voc.yml @@ -1,5 +1,5 @@ _BASE_: [ - '../datasets/coco_detection.yml', + '../datasets/voc.yml', '../runtime.yml', '_base_/optimizer_270e.yml', '_base_/yolov3_mobilenet_v3_large.yml', @@ -10,37 +10,6 @@ snapshot_epoch: 5 pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/MobileNetV3_large_x1_0_ssld_pretrained.pdparams weights: output/yolov3_mobilenet_v3_large_ssld_270e_voc/model_final -TrainReader: - inputs_def: - num_max_boxes: 50 - sample_transforms: - - Decode: {} - - Mixup: {alpha: 1.5, beta: 1.5} - - RandomDistort: {} - - RandomExpand: {fill_value: [123.675, 116.28, 103.53]} - - RandomCrop: {} - - RandomFlip: {} - batch_transforms: - - BatchRandomResize: - target_size: [320, 352, 384, 416, 448, 480, 512, 544, 576, 608] - random_size: True - random_interp: True - keep_ratio: False - - NormalizeBox: {} - - PadBox: {num_max_boxes: 50} - - BboxXYXY2XYWH: {} - - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True} - - Permute: {} - - 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] - num_classes: 20 - batch_size: 8 - shuffle: true - drop_last: true - mixup_epoch: 250 - LearningRate: base_lr: 0.001 schedulers: -- GitLab