dog_detection.yml路径一键修改：
metric: COCO num_classes: 4 TrainDataset: !COCODataSet image_dir: images anno_path: annotations/train.json dataset_dir: /home/aistudio/data/robot_dog_dataset/detection/ data_fields: ['image', 'gt_bbox', 'gt_class', 'is_crowd'] EvalDataset: !COCODataSet image_dir: images anno_path: annotations/val.json dataset_dir: /home/aistudio/data/robot_dog_dataset/detection/ TestDataset: !ImageFolder anno_path: annotations/val.json # also support txt (like VOC's label_list.txt) dataset_dir: /home/aistudio/data/robot_dog_dataset/detection/ # if set, anno_path will be 'dataset_dir/anno_path'
2023年4月21日10:39
环境：V100 32G
dog_detection.yml
num_classes:4
optimizer_80e.yml
epoch: 600
base_lr: 0.000125
ppyoloe_plus_reader.yml
TrainReader:
batch_transforms:
- NormalizeImage: {mean: [0.9335411,0.9335429,0.9335709], std: [0.09545881,0.09532484,0.0950378], norm_type: none}
batch_size: 32
EvalReader:
sample_transforms:
- NormalizeImage: {mean: [0.9335411,0.9335429,0.9335709], std: [0.09545881,0.09532484,0.0950378], norm_type: none}
batch_size: 4
TestReader:
sample_transforms:
- NormalizeImage: {mean: [0.9335411,0.9335429,0.9335709], std: [0.09545881,0.09532484,0.0950378], norm_type: none}
yolov3_darknet53.yml
具体路径：/home/aistudio/PaddleDetection/configs/yolov3/_base_/yolov3_darknet53.yml
YOLOv3Loss:
label_smooth: true