pytorch-YOLO | YOLO v1 pytorch implementation | Machine Learning library
kandi X-RAY | pytorch-YOLO Summary
kandi X-RAY | pytorch-YOLO Summary
YOLO v1 pytorch implementation
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Top functions reviewed by kandi - BETA
- Forward computation
- Compute the IOU curve
- Runs the test on the training dataset
pytorch-YOLO Key Features
pytorch-YOLO Examples and Code Snippets
Community Discussions
Trending Discussions on pytorch-YOLO
QUESTION
Steps to reproduce:
I am using Anaconda on Windows to set up environment for this repo.
conda create --name pytorch-yolo
Then I install all dependencies with conda install --file requirements.txt
Which returns
...ANSWER
Answered 2021-Mar-10 at 16:13You are probably using the wrong python binary. Can you try python test.py --weights_path weights/yolov3.weights?
I am not familiar with Windows terminal, but you can get the path to the binaries by using the where command (which for Linux):
QUESTION
I packaged (using Pyinstaller) a small variant of the Minimalistic Yolo github repo, found Here, the packaging was done using pyinstaller to run the object detection as a server using Flask.
So while attempting to run the server, it only works when running from Anaconda Prompt (Which is where i wrote the pyinstaller command) other than that, the following error occur.
Error i Get while running from (exe,Cmd,PowerShell) is:
...ANSWER
Answered 2020-Nov-19 at 13:29Alright, turns out this is an issue with pyinstaller.
if Pytorch is installed using Conda, it requires the CUDANN , and it won't work with it (ie without that environment)
if you want it to work every where, Pytorch has to be installed using pip.
For reference, https://github.com/pyinstaller/pyinstaller/issues/2666#issuecomment-508013383
QUESTION
I'm following this guide to convert darknet to onnx. However, I'm facing the following error:
"C:\Users\Scott\Anaconda3\envs\pytorch_yolov4\lib\site-packages\torch\onnx\symbolic_helper.py", line 253, in _set_opset_version raise ValueError("Unsupported ONNX opset version: " + str(opset_version)) ValueError: Unsupported ONNX opset version: 11
What does this error mean and how to deal with it?
...ANSWER
Answered 2020-Nov-18 at 05:43It looks like you have an old PyTorch version, probably PyTorch 1.2.
The docs here https://github.com/Tianxiaomo/pytorch-YOLOv4#4-pytorch2onnx recommend at least PyTorch 1.4.
QUESTION
I'm using an existing PyTorch-YOLOv3 architecture and training it to recognize a custom dataset through google colab for a research manuscript. Basically I want to use the object detection algorithm to count the number of objects for two classes in an image.
I've been told that for my purpose, I should generate validation/training curves for the model and create a confusion matrix to evaluate the classifier element of the trained model. I have an idea to modify the training script to output training metrics to a csv file during the training, but I'm not familiar with how to create a confusion matrix to evaluate the trained model.
Additionally, in the field of computer vision, what kind of metrics/figures should be generated for a manuscript?
...ANSWER
Answered 2019-Dec-11 at 12:13Regarding the first part of your question, since you seem to only be concerned with two classes, a simple confusion matrix would look like
QUESTION
I am using tqdm and requests to manage file download in Python. However I can't figure out how to make tqdm display the progress bar in human-readable format i.e. in MB/s.
Here is my code
...ANSWER
Answered 2019-Dec-01 at 12:38Pass extra parameters for tqdm unit='B', unit_scale=True, unit_divisor=1024.
QUESTION
These are pytorch-yolo v3 code. I downloaded it in github. (https://github.com/eriklindernoren/PyTorch-YOLOv3) I tuned this for two classes. And while I'm doing trainning, there is still an error.
This is test.py code.
...ANSWER
Answered 2019-May-13 at 18:44It seems that this list of comprehension: [np.concatenate(x, 0) for x in list(zip(*sample_metrics))] is empty. It is hard to say since I don't know how sample_metrics looks like, because I don't see definition of get_batch_statistics in this sentence: sample_metrics += get_batch_statistics(outputs, targets, iou_threshold=iou_thres).
But this might helps. A statement like this:
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Install pytorch-YOLO
You can use pytorch-YOLO like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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