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How to crop-save more than 1 image file? #8310
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In detect.py- you have the --save-crop option |
@Raymon360 👋 Hello! Thanks for asking about cropping results with YOLOv5 🚀. Cropping bounding box detections can be useful for training classification models on box contents for example. This feature was added in PR #2827. You can crop detections using either detect.py or YOLOv5 PyTorch Hub: detect.pyCrops will be saved under python detect.py --save-crop YOLOv5 PyTorch HubCrops will be saved under import torch
# Model
model = torch.hub.load('ultralytics/yolov5', 'yolov5s') # or yolov5m, yolov5l, yolov5x, custom
# Images
img = 'https://ultralytics.com/images/zidane.jpg' # or file, Path, PIL, OpenCV, numpy, list
# Inference
results = model(img)
# Results
crops = results.crop(save=True) # or .show(), .save(), .print(), .pandas(), etc. Good luck 🍀 and let us know if you have any other questions! |
Thanks for the response, but can cut save detection be used to detect multiple image files at once? e.g. 10 images from each subfolder |
@Raymon360 |
can you provide a code example of what you are describing? |
oh I just got it, thanks for helping me @barney2074 and @glenn-jocher |
@Raymon360 google glob documentation if you're not familiar with it |
👋 Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs. Access additional YOLOv5 🚀 resources:
Access additional Ultralytics ⚡ resources:
Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed! Thank you for your contributions to YOLOv5 🚀 and Vision AI ⭐! |
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Question
How to crop-save more than 1 image file in multiple folders with size according to trained detection model bounding box?
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