Hi@NicolasHug, it will raise the same error oftorchvision.io.read_image()on macOS Arm M1, and seems that there is only torchvision 0.10.0 released on M1, so I only test these on torchvision 0.10.0. I think I should have mentioned that I am also having the problem in Mac M1. It ...
import torchvision print(torchvision.__version__) #0.8.2 img = torchvision.io.read_image("logos/gray_pytorch.png") #RuntimeError: Non RGB images are not supported. print(img.shape) I suspect that you might have installed a different torchvision version on a virtual environment, possibly the...
Kafka 和 RabbitMQ 都是流行的开源消息系统，它们可以在分布式系统中实现数据的可靠传输和处理。Kafka 和...
代码: # Imports here import pandas as pd import numpy as np import torch from torch import nn from torchvision import datasets, transforms, models import torchvision.models as models import torch.nn.functional as F import torchvision.transforms.functional as F from torch import optim import json f...
vue是一款轻量级的mvvm框架，追随了面向对象思想，使得实际操作变得方便，但是如果使用不当，将会面临着到处...
The image cannot be loaded if the path contains multibyte strings. To Reproduce import torchvision file_path = "D:\\日本語(Japanese)\\Sample.png" # It's work. f = open(file_path, 'rb') f.close() # It's not work. tensor_image = torchvision.i...
🐛 Bug To Reproduce Steps to reproduce the behaviour: Here is simple code to reproduce the error. Notice that I'm not passing any transforms to image. Since torchvision.io.read_image will read normalized images only. # from PIL import Ima...
🐛 Describe the bug The result of read_video is not the same of read_image with concatenation import torchvision import cv2 import tempfile import torch video_path = # path to video # Extract frames using `read_image` video_tensor1 = [] c...
RegNet weights increased with HF hub push, SWAG, SEER, and torchvision v2 weights. SEER is pretty poor wrt to performance for model size, but possibly useful. More ImageNet-12k pretrained and 1k fine-tuned timm weights: rexnetr_200.sw_in12k_ft_in1k - 82.6 @ 224, 83.2 @ 288 rexnetr...
conda create --name medical_seg python=3.8 -y conda activate medical_seg conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia pip install -U openmim mim install mmengine mim install "mmcv>=2.0.0" cd mmsegmentation pip install -v -e . pip install ftfy pip ...