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tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

tf-cpu

tinyml

tools-to-design-or-visualize-architecture-of-neural-network

Tools to Design or Visualize Architecture of Neural Network

uestc_courseware

电子科技大学计算机科学与工程学院信息安全专业课件(部分)

unsuperviseddeephomographyral2018

Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model

visualkeras

Visualkeras is a Python package to help visualize Keras (either standalone or included in TensorFlow) neural network architectures. It allows easy styling to fit most needs. This module supports layered style architecture generation which is great for CNNs (Convolutional Neural Networks), and a graph style architecture, which works great for most models including plain feed-forward networks.

vswarm

vswarm: A ROS package to simulate and deploy vision-based drone swarms

weighted-hausdorff-loss

A loss function (Weighted Hausdorff Distance) for object localization in PyTorch

xyplorer_help

XYplorer使用教程-原创

yolov3-in-pytorch

YOLOv3 in PyTorch with training and inference module implemented.

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov5-lite

🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

yolov5_obb

yolov5 + csl_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于yolov5的旋转目标检测

yolov6

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

yolov7

🔥🔥🔥🔥 YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥

zed_tensorrt_fasterrcnn

ZED camera integration with a TensorRT Faster RCNN example using JetPack 3.3. Verified on Jetson TX2.

zju-icicles

浙江大学课程攻略共享计划