Onnx Imagenet 1k Object Detector
Python scripts for performing object detection with the 1000 labels of the ImageNet dataset in ONNX. The repository combines a class agnostic object localizer to first detect the objects in the image, and next a ResNet50 model trained on ImageNet is used to label each box.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Yolo2 Pytorch | 423 | 6 years ago | 12 | lgpl-3.0 | Python | |||||
| PyTorch implementation of the YOLO (You Only Look Once) v2 | ||||||||||
| Vedaseg | 383 | 3 years ago | 1 | apache-2.0 | Python | |||||
| A semantic segmentation toolbox based on PyTorch | ||||||||||
| Openpose Pytorch | 49 | 5 years ago | 4 | lgpl-3.0 | Python | |||||
| PyTorch implementation of the OpenPose | ||||||||||
| Menoh_ros | 11 | 6 years ago | mit | C++ | ||||||
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Python
Computer Vision
Opencv
Object Detection
Imagenet
Onnx