Pinned Repositories
mmdetection
OpenMMLab Detection Toolbox and Benchmark
nanodet
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
onnx2tf
Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.
RT-DETR
Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
ssd.pytorch
A PyTorch Implementation of Single Shot MultiBox Detector
Tensorflow-TensorRT
This repository is for my YT video series about optimizing a Tensorflow deep learning model using TensorRT. We demonstrate optimizing LeNet-like model and YOLOv3 model, and get 3.7x and 1.5x faster for the former and the latter, respectively, compared to the original models.
TensorRT_CV
:rocket::rocket::rocket:NVIDIA TensorRT 加速推断教程！
tmp
tutorials
PyTorch tutorials.
WordStylist
Official PyTorch Implementation of "WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models" - ICDAR 2023
fangliang425's Repositories
fangliang425/mmdetection
OpenMMLab Detection Toolbox and Benchmark
fangliang425/nanodet
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
fangliang425/onnx2tf
Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.
fangliang425/RT-DETR
Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
fangliang425/ssd.pytorch
A PyTorch Implementation of Single Shot MultiBox Detector
fangliang425/Tensorflow-TensorRT
This repository is for my YT video series about optimizing a Tensorflow deep learning model using TensorRT. We demonstrate optimizing LeNet-like model and YOLOv3 model, and get 3.7x and 1.5x faster for the former and the latter, respectively, compared to the original models.
fangliang425/TensorRT_CV
:rocket::rocket::rocket:NVIDIA TensorRT 加速推断教程！
fangliang425/tmp
fangliang425/tutorials
PyTorch tutorials.
fangliang425/WordStylist
Official PyTorch Implementation of "WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models" - ICDAR 2023
fangliang425/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
fangliang425/YOLOv6
YOLOv6: a single-stage object detection framework dedicated to industrial applications.