This readme file contains pre-repositories that will have their separate README file for detail explanations
Resnet 18 pretrained model either for onnx and tensorrt
YoloV4 pretrained Darketn with Onnx Python Inference
YoloV5 pretrained object detection model with Python Inference and Onnx API
Onnx-Inference-Yolov5 contains Tensorrt 8.5.1 Python Inference
YoloV5 Video Inference describes how to implement fast inference on video frames with tensorrt library!
YoloV8 folder in fact will explain how to make an fast inference on images and video frames with ONNX Dynamic API
Yolo P model describes implementation for ONNX API infefrence on which cars camera deteect cars around it, as well as renders instance segmentation for highway.
YoloV7 Inference with ONNX Model based on batch of images as well as video frame inference
Deep Reinforcement Learning Applications such as Frozen Lake, Card Playing, Lunar Lader !
Bonus Lecture: Deep Q Reinforcement Learning Policy with GYM Library!