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README.md
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### Installation
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```
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pip install yolov7detect
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```
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### Yolov7 Inference
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```python
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import yolov7
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# load pretrained or custom model
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model = yolov7.load('kadirnar/yolov7-v0.1')
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# set model parameters
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model.conf = 0.25 # NMS confidence threshold
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model.iou = 0.45 # NMS IoU threshold
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model.classes = None # (optional list) filter by class
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# set image
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imgs = 'inference/images'
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# perform inference
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results = model(imgs)
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# inference with larger input size and test time augmentation
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results = model(img, size=1280, augment=True)
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# parse results
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predictions = results.pred[0]
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boxes = predictions[:, :4] # x1, y1, x2, y2
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scores = predictions[:, 4]
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categories = predictions[:, 5]
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# show detection bounding boxes on image
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results.show()
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```
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yolov7.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:d1ac3c74eb96a3eec77949c0f37a06bc272756606ff011d9353f7abff4e0c71d
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size 75587165
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