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Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
TransNet V2: Shot Boundary Detection Neural Network
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Tensorflow2.0下运行目标检测网络Centernet（基于see--的keras-centernet）
Google Research
Faster R-CNN R-101-FPN model was implemented with TensorFlow2.0 eager execution.
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
A one-stop repository for low-code easily-installable object detection pipelines.
Codes for paper "Mask Scoring R-CNN".
OpenMMLab Detection Toolbox and Benchmark
A simplified implementation of RetinaNet from https://arxiv.org/pdf/1708.02002.pdf using TF2.0
This is the tf2.0 version of efficientdet.
DexiNed: Dense EXtreme Inception Network for Edge Detection
Visualizer for neural network, deep learning and machine learning models
Custom implementation of EfficientDet https://arxiv.org/abs/1911.09070
A best practice for tensorflow project template architecture.
Most popular metrics used to evaluate object detection algorithms.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification
This project will not be updated. Try to use Milkdown.
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification
Interpretability Methods for tf.keras models with Tensorflow 2.x