According to the feedstock, numpy 1.20.1+ is supported in torchmetrics 1.5.1. However, according tohere, numpy 2 is not supported. Thisshould be fixedin the next torchmetrics release, but it would be nice to make surepip checkpasses for this feedstock as well. I'm trying to add a new...
model = smp.FPN('resnet34', in_channels=1) mask = model(torch.ones([1, 1, 64, 64])) Auxiliary classification output All models support aux_params parameters, which is default set to None. If aux_params = None then classification auxiliary output is not created, else model produce no...
🙏 Special Thanksto@dnicolodi💰and@woodruffw💰for releasing the license metadata support fix in Twine! 💬 Discusson Bluesky 🦋,on Mastodon 🐘andon GitHub. Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a reba...
0.10.7last stable release1 month ago Submit Feedback Source Code See onPyPI Install Complexity Score High Open Issues N/A Dependent Projects 24 Weekly Downloadsglobal 43,528 Keywords aicomputer-visiondeep-learningmachine-learningpythonpytorch
🐛 Describe the bug The torch==2.5.0 PyPI wheel distribution logs an error message to the console on import on arm64 platforms. Python 3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0] on linux Type "help", "copyright", "credits" or "lic...
metrics import calculate_metric 13 8 from basicsr.models.base_model import BaseModel 14 9 from basicsr.utils import get_root_logger, imwrite, tensor2img 15 10 from basicsr.utils.registry import MODEL_REGISTRY 11 + from collections import OrderedDict 12 + from torch.nn import functional ...
Inpypa/gh-action-pypi-publish#112, it was discovered that passing a$PATHvariable even breaks the shebang. So this version adds more safeguards to make sure it keeps working with a fully broken$PATH. Full Diff:pypa/gh-action-pypi-publish@v1.6.2...v1.6.3 ...
metrics import calculate_metric from basicsr.models.base_model import BaseModel from basicsr.utils import get_root_logger, imwrite, tensor2img from basicsr.utils.registry import MODEL_REGISTRY from collections import OrderedDict from torch.nn import functional as F from torchvision.ops import roi_...
metrics import calculate_metric from basicsr.models.base_model import BaseModel from basicsr.utils import get_root_logger, imwrite, tensor2img from basicsr.utils.registry import MODEL_REGISTRY from collections import OrderedDict from torch.nn import functional as F from torchvision.ops import roi_...
metrics import calculate_metric from basicsr.models.base_model import BaseModel from basicsr.utils import get_root_logger, imwrite, tensor2img from basicsr.utils.registry import MODEL_REGISTRY from collections import OrderedDict from torch.nn import functional as F from torchvision.ops import roi_...