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YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Most popular metrics used to evaluate object detection algorithms.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Flops counter for convolutional networks in pytorch framework
You Only Look Once for Panopitic Driving Perception.(MIR2022)
This is the official repository for our recent work: PIDNet
This repo has been moved to https://github.com/bdd100k/bdd100k permanently.
[TPAMI 2023 ESI Highly Cited Paper] SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation https://arxiv.org/abs/2204.08808