This is a collection of state-of-the-art deep model for estimating optical flow. The main goal is to provide a unified framework where multiple models can be trained and tested more easily. The work and code from many others are present here.

These PyTorch Lightning strategies on Ray enable quick and easy parallel training while still leveraging all the benefits of PyTorch Lightning and using your desired training protocol, either PyTorch Distributed Data Parallel or Horovod.

2022年11月10日 · I trained a yolov5 model and concerted to the PyTorch Lite version. How can I load it in python to test performance? I tried to load the same way with the pt model as below, model = torch.hub.load(“…/yolov5”, ‘custom’,…

Let’s first define a PyTorch-Lightning (PTL) model. This will be the simple MNIST example from the PTL docs. Notice that this model has NOTHING specific about GPUs, .cuda or anything …

Welcome to the PTLFlow documentation for the code at https://github.com/hmorimitsu/ptlflow. This is an unified platform built on PyTorch Lightning for training and testing deep optical flow models. The modular design of systems in PyTorch Lightning is ideal for putting lots of models together while keeping each of them well contained.

2024年4月17日 · In this article, we’ll talk about converting PyTorch models trained on the web to mobile optimized format. We were aiming to convert an object detection model built using the yolov5 framework...

2022年4月28日 · How to convert pretrained .pt extension pytorch model generated by YoloV5 into .ptl (pytorch lite interpreter format) extension model to load on mobile

2021年7月29日 · I am using PyTorch Lightning version 1.4.0 and have defined the following class for the dataset: ''' Custom PyTorch Dataset for training. Args: data (pd.DataFrame) - DF containing product info (and maybe also ratings) all_itemIds (list) - Python3 list containing all Item IDs. ''' def __init__(self, data, all_orderIds):

2021年9月15日 · The Python script export.py in the models folder of the YOLOv5 repo is used to generate a TorchScript-formatted YOLOv5 model named yolov5s.torchscript.pt for mobile apps. Followed by examples/instructions, did that not work for you?

Below is a list and a brief explanation about the models currently available on PTLFlow.