Comments (2)
@mqbin! I had not converted the dataset with JSON2YOLO. I had labeled the dataset on roboflow, but I had selected the instance segmentation option, instead of semantic segmentation. Once you will complete the labeling in instance segmentation format, export data and just run training. You will not need to convert data with convertor JSON2YOLO, it will be in YOLO format directly. For a better understanding, you can take a look at my medium article Train YOLOv7 Segmentation on Custom Data
Thank you for your reply.
I appreciate the information and advice you provided and I will check out the information.
from yolov7-segmentation.
@mqbin! I had not converted the dataset with JSON2YOLO. I had labeled the dataset on roboflow, but I had selected the instance segmentation option, instead of semantic segmentation. Once you will complete the labeling in instance segmentation format, export data and just run training. You will not need to convert data with convertor JSON2YOLO, it will be in YOLO format directly.
For a better understanding, you can take a look at my medium article Train YOLOv7 Segmentation on Custom Data
from yolov7-segmentation.
Related Issues (20)
- Validation Error HOT 1
- customize segmentation points
- IndexError: boolean index did not match indexed array along dimension 0 HOT 6
- how to get the area of segmented object? HOT 3
- Is there an interpretation video for the predict.py code? HOT 1
- How can I get a heat map for each class on this? HOT 3
- Segmentation: Binary Mask instead of Mask Overlay HOT 4
- Sort by segmentation area instead of confidence HOT 1
- Uploading the trained model
- How can I obtain only segmentation mask without bounding box? HOT 3
- Yolov7 tiny for segmentation HOT 1
- yolov7 segemntation onnx HOT 1
- getting segmentation points as pixel value HOT 1
- yolov7 segmentation on custom data HOT 1
- negative samples HOT 4
- training and segmenting at 1280x720p size
- how to use the model for multi band images
- PKL problem HOT 1
- AttributeError: 'FreeTypeFont' object has no attribute 'getsize' HOT 1
- Torch-CPU HOT 1
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