- Zero mAP after training model and converged loss. https://github.com/dbolya/yolact 2 comments computervision
Linking pages
- GitHub - Ly0n/awesome-robotic-tooling: Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace https://github.com/Ly0n/awesome-robotic-tooling 54 comments
- Image Segmentation: Your Ultimate Guide to Easy Deployment and Fast Inferencing - Neural Magic https://neuralmagic.com/blog/image-segmentationyour-ultimate-guide-to-easy-deployment-and-fast-inferencing/ 2 comments
- GitHub - Tencent/ncnn: ncnn is a high-performance neural network inference framework optimized for the mobile platform https://github.com/Tencent/ncnn 0 comments
- GitHub - protontypes/awesome-robotic-tooling: Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace. https://github.com/protontypes/awesome-robotic-tooling 0 comments
Linked pages
- PyTorch http://pytorch.org/ 100 comments
- CUDA Toolkit - Free Tools and Training | NVIDIA Developer https://developer.nvidia.com/cuda-toolkit 6 comments
- Anaconda | Anaconda Distribution https://www.anaconda.com/distribution/ 4 comments
- [1904.02689] YOLACT: Real-time Instance Segmentation https://arxiv.org/abs/1904.02689 3 comments
- COCO - Common Objects in Context http://cocodataset.org 2 comments
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