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Research
Data Theft Repackaged: A Case Study in Malicious Wrapper Packages on npm
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Bindings for yolov7 project (https://github.com/WongKinYiu/yolov7)
Example of usage:
from yolov7_package import Yolov7Detector
import cv2
if __name__ == '__main__':
img = cv2.imread('img.jpg')
det = Yolov7Detector(traced=False)
classes, boxes, scores = det.detect(img)
img = det.draw_on_image(img, boxes[0], scores[0], classes[0])
cv2.imshow("image", img)
cv2.waitKey()
You can use traced=True option to download and infer traced FP16 version of yolov7 model!
PYPI link: https://pypi.org/project/yolov7-package/
FAQs
Bindings for yolov7 in one class
We found that yolov7-package demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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