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Rembg is a tool to remove images background
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
C++ Syntax, Data Structures, and Algorithms Cheat Sheet
程序员延寿指南 | A programmer's guide to live longer
Tensorflow 2 single shot multibox detector (SSD) implementation from scratch with MobileNetV2 and VGG16 backbones
TRI-ML Monocular Depth Estimation Repository
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
On-the-fly Structured Pruning for PyTorch models. This library implements several attributions metrics and structured pruning utils for neural networks in PyTorch.
Build OpenCV3 Android SDK with contrib modules
Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1 , 1.2 ,1.3 .notice that only pytorch 1.1 have some bugs
A simple and easy-to-use library to enjoy videogames programming
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Count the MACs / FLOPs of your PyTorch model.
A translator from Intel SSE intrinsics to Arm/Aarch64 NEON implementation
Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its…
Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.
ONNX Parser is a tool that automatically generates openvx inference code (CNN) from onnx binary model files.
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …