Open vidaldani opened 2 months ago
train-yolov6-object-detection-on-custom-data.ipynb
When I try to download the LOCO dataset in mt-yolov6 format I get the following error for all the training labels.
WARNING: LOCO-ROBOFLOW-3/labels/train/997935-8254_jpg.rf.0c48370dc703a5f0fb7d15e50253fac1.txt: ignoring invalid labels: LOCO-ROBOFLOW-3/labels/train/997935-8254_jpg.rf.0c48370dc703a5f0fb7d15e50253fac1.txt: wrong label format Traceback (most recent call last): File "/content/YOLOv6/YOLOv6/tools/train.py", line 143, in <module> main(args) File "/content/YOLOv6/YOLOv6/tools/train.py", line 128, in main trainer = Trainer(args, cfg, device) File "/content/YOLOv6/YOLOv6/yolov6/core/engine.py", line 91, in __init__ self.train_loader, self.val_loader = self.get_data_loader(self.args, self.cfg, self.data_dict) File "/content/YOLOv6/YOLOv6/yolov6/core/engine.py", line 387, in get_data_loader train_loader = create_dataloader(train_path, args.img_size, args.batch_size // args.world_size, grid_size, File "/content/YOLOv6/YOLOv6/yolov6/data/data_load.py", line 46, in create_dataloader dataset = TrainValDataset( File "/content/YOLOv6/YOLOv6/yolov6/data/datasets.py", line 82, in __init__ self.img_paths, self.labels = self.get_imgs_labels(self.img_dir) File "/content/YOLOv6/YOLOv6/yolov6/data/datasets.py", line 433, in get_imgs_labels img_paths, labels = list( ValueError: not enough values to unpack (expected 2, got 0)
Therefore the model never trains
Google Collab GPU T4
!git clone https://github.com/meituan/YOLOv6 %cd YOLOv6 !pip install -r requirements.txt !pip install roboflow from roboflow import Roboflow rf = Roboflow(api_key="api-key") project = rf.workspace("loco-fml").project("loco-fml") version = project.version(3) dataset = version.download("mt-yolov6") !python tools/train.py --batch 32 --conf configs/yolov6s.py --epochs 100 --img-size 416 --data {dataset.location}/data.yaml --device 0
The format obtained has 8 values instead of 4:
1 0.995417 0.702962962962963 0.995417 0.95639 0.735 0.95639 0.735 0.702962962
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Notebook name
train-yolov6-object-detection-on-custom-data.ipynb
Bug
When I try to download the LOCO dataset in mt-yolov6 format I get the following error for all the training labels.
Therefore the model never trains
Environment
Google Collab GPU T4
Minimal Reproducible Example
Additional
The format obtained has 8 values instead of 4:
1 0.995417 0.702962962962963 0.995417 0.95639 0.735 0.95639 0.735 0.702962962
Are you willing to submit a PR?