Comments (4)
Thank you for providing such detailed information.
This is because we use some features of torch 1.7.0+ and torchvision 0.8.1+, we recommend that you upgrade PyTorch and TorchVision to the stable version.
from yolort.
Yeah it did not work. Following is the error:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/data/sourabh/Play_n_n_Learn/CV_DL/yolov5_exp/yolov5-rt-stack/yolort/__init__.py", line 3, in <module>
from yolort import models
File "/data/sourabh/Play_n_n_Learn/CV_DL/yolov5_exp/yolov5-rt-stack/yolort/models/__init__.py", line 5, in <module>
from .yolo_module import YOLOModule
File "/data/sourabh/Play_n_n_Learn/CV_DL/yolov5_exp/yolov5-rt-stack/yolort/models/yolo_module.py", line 9, in <module>
from . import yolo
File "/data/sourabh/Play_n_n_Learn/CV_DL/yolov5_exp/yolov5-rt-stack/yolort/models/yolo.py", line 12, in <module>
from .box_head import YoloHead, SetCriterion, PostProcess
File "/data/sourabh/Play_n_n_Learn/CV_DL/yolov5_exp/yolov5-rt-stack/yolort/models/box_head.py", line 9, in <module>
from . import _utils as det_utils
File "/data/sourabh/Play_n_n_Learn/CV_DL/yolov5_exp/yolov5-rt-stack/yolort/models/_utils.py", line 8, in <module>
from torchvision.ops.boxes import box_convert
ImportError: cannot import name 'box_convert'
Anyways thanks for now.
from yolort.
Thank you for providing such detailed information.
This is because we use some features of torch 1.7.0+ and torchvision 0.8.1+, we recommend that you upgrade PyTorch and TorchVision to the stable version.
@zhiqwang Thanks.
It worked with updated torchvision==0.8.0
and torch==1.7.0
versions.
Is is possible to make it work on torchvision==0.7.0
and torch==1.6.0
since our production environment is deployed on these versions?
from yolort.
Hi @sourabhyadav ,
Just for this bug, you can change this line
to
from torchvision.ops.boxes import batched_nms
But I'm not sure if there is a problem elsewhere.
from yolort.
Related Issues (20)
- `numpy` does not support newline delimiter from version 1.23
- zlibwapi.dll (solved)
- No module named 'yolort.utils.update_module_state' while saving the Yolo Model HOT 6
- Dynamic batch dimension not working with ONNX export HOT 1
- module 'yolort' has no attribute 'utils' HOT 4
- Can't load custom trained model HOT 2
- Unexpected side effect on matplotlib's backend HOT 2
- Remove `NestedTensor` from pre-processing
- Loading pre-trained model is not supported for num_classes != 80 HOT 1
- Can bbox coordinates be negative in yolo output? HOT 6
- Remove `ComputeLoss` from TorchScript graph
- SpeedUp with microsoft/nni HOT 3
- Can not export to ONNX model. AttributeError: 'NoneType' object has no attribute 'shape' HOT 7
- CLI tool for exporting models.: error: the following arguments are required: --checkpoint_path HOT 16
- Is it correct to subtract x_offset twice when performing bbox scale as post-processing? HOT 1
- If put yolov5 onnx exported from ultralytics into export_engine api, the postprocess speed slows down in cpp deploy. HOT 8
- SetCriterion's forward() incompatible with P6 models. Can't train P6 models.
- [defaultAllocator.cpp::deallocate::42] Error Code 1: Cuda Runtime (invalid argument) Segmentation fault (core dumped)
- Exporting ONNX Model with Fixed Batch Size of 1 Using export_tensorrt_engine
- cant batch infer?
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from yolort.