DrewdropLife

Drifting in the stream of knowledge like dewdrop.

Pinned Repositories

3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
Language:Python0 0 00
Balanced-DataParallel
这里是改进了pytorch的DataParallel, 用来平衡第一个GPU的显存使用量
Language:Python00
crnn
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
Language:Lua00
darknet
YOLOv4v / Scaled-YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Language:C00
HRNet-Image-Classification
Train the HRNet model on ImageNet
Language:Python00
PaddleClas
A treasure chest for visual recognition powered by PaddlePaddle
Language:Python00
prepare_detection_dataset
convert dataset to coco/voc format
Language:Python0 0 00
pytorch-YOLOv4
PyTorch ,ONNX and TensorRT implementation of YOLOv4
Language:Python0 0 00
PyTorch_YOLOv4
PyTorch implementation of YOLOv4
Language:Python0 0 00
torchscript-demos
A brief of TorchScript by MNIST
Language:C++00

DrewdropLife/3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
Language:Python0 0 00
DrewdropLife/Balanced-DataParallel
这里是改进了pytorch的DataParallel, 用来平衡第一个GPU的显存使用量
Language:Python00
DrewdropLife/crnn
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
Language:Lua00
DrewdropLife/darknet
YOLOv4v / Scaled-YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Language:C00
DrewdropLife/HRNet-Image-Classification
Train the HRNet model on ImageNet
Language:Python00
DrewdropLife/PaddleClas
A treasure chest for visual recognition powered by PaddlePaddle
Language:Python00
DrewdropLife/prepare_detection_dataset
convert dataset to coco/voc format
Language:Python0 0 00
DrewdropLife/pytorch-YOLOv4
PyTorch ,ONNX and TensorRT implementation of YOLOv4
Language:Python0 0 00
DrewdropLife/PyTorch_YOLOv4
PyTorch implementation of YOLOv4
Language:Python0 0 00
DrewdropLife/torchscript-demos
A brief of TorchScript by MNIST
Language:C++00
DrewdropLife/vision
Datasets, Transforms and Models specific to Computer Vision