Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

--save-crop #8905

Closed
1 task done
PriyamDalwadii opened this issue Aug 8, 2022 · 14 comments
Closed
1 task done

--save-crop #8905

PriyamDalwadii opened this issue Aug 8, 2022 · 14 comments
Labels
question Further information is requested Stale

Comments

@PriyamDalwadii
Copy link

Search before asking

Question

I am working on project on object detection and saving the crop image of detection. I am using --save-crop flag but it creates duplicates of same image. How to just save one crop image instead of multiple crop images?

Additional

No response

@PriyamDalwadii PriyamDalwadii added the question Further information is requested label Aug 8, 2022
@github-actions
Copy link
Contributor

github-actions bot commented Aug 8, 2022

👋 Hello @PriyamDalwadii, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

If this is a 🐛 Bug Report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available.

For business inquiries or professional support requests please visit https://ultralytics.com or email support@ultralytics.com.

Requirements

Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

git clone https://github.com/ultralytics/yolov5  # clone
cd yolov5
pip install -r requirements.txt  # install

Environments

YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

Status

CI CPU testing

If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training (train.py), validation (val.py), inference (detect.py) and export (export.py) on macOS, Windows, and Ubuntu every 24 hours and on every commit.

@glenn-jocher
Copy link
Member

@PriyamDalwadii 👋 Hello! Thanks for asking about cropping results with YOLOv5 🚀. Cropping bounding box detections can be useful for training classification models on box contents for example. This feature was added in PR #2827. You can crop detections using either detect.py or YOLOv5 PyTorch Hub:

detect.py

Crops will be saved under runs/detect/exp/crops, with a directory for each class detected.

python detect.py --save-crop

Original

Crop

YOLOv5 PyTorch Hub

Crops will be saved under runs/detect/exp/crops if save=True, and also returned as a dictionary with crops as numpy arrays.

import torch

# Model
model = torch.hub.load('ultralytics/yolov5', 'yolov5s')  # or yolov5m, yolov5l, yolov5x, custom

# Images
img = 'https://ultralytics.com/images/zidane.jpg'  # or file, Path, PIL, OpenCV, numpy, list

# Inference
results = model(img)

# Results
crops = results.crop(save=True)  # or .show(), .save(), .print(), .pandas(), etc.

Good luck 🍀 and let us know if you have any other questions!

@PriyamDalwadii
Copy link
Author

@glenn-jocher Hey! I am using python detect.py --source 1 --save-crop.
It is creating multiple crop images of same detection. Any suggestion to store only 2-3 crop images of detected class? It is single detection. Thank you in advance

@glenn-jocher
Copy link
Member

@PriyamDalwadii only one crop is produced per detection. If you have multiple crops you have multiple detections.

@PriyamDalwadii
Copy link
Author

Capture2
I have run inference using webcam. It has one detection in the frame.

following is the directory created by --save-crop.
Capture

It creates tens of images in one or two seconds!

Is there something wrong with my code or it supposed to be like this?

@glenn-jocher
Copy link
Member

@PriyamDalwadii this is probably just one image per frame as intended.

@PriyamDalwadii
Copy link
Author

PriyamDalwadii commented Aug 9, 2022

@glenn-jocher Absolutely, I don't know if i quite got it, but I don't know why it keeps cropping same image for multiple time? I hope you get my point. Any fix to just crop one image per 1 detection

@glenn-jocher
Copy link
Member

@PriyamDalwadii I think you're not understanding. If your webcam is running at 30FPS you'll have 30 images processed in 1 second. If the object is in each image you'll have 30 crops in 1 second. Everything is working as intended.

@PriyamDalwadii
Copy link
Author

oh! Great Thanks! @glenn-jocher

@sourabmaity
Copy link

After collecting all images you can remove them by checking the similarity search method from images.

@PriyamDalwadii
Copy link
Author

After collecting all images you can remove them by checking the similarity search method from images.

@sourabmaity Thanks for the idea, do have any good resource that I can refer?

@sourabmaity
Copy link

@PriyamDalwadii
Copy link
Author

you can check fastdup @PriyamDalwadii https://github.com/visualdatabase/fastdup

Thanks! This might help :D

@github-actions
Copy link
Contributor

github-actions bot commented Sep 10, 2022

👋 Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.

Access additional YOLOv5 🚀 resources:

Access additional Ultralytics ⚡ resources:

Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!

Thank you for your contributions to YOLOv5 🚀 and Vision AI ⭐!

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
question Further information is requested Stale
Projects
None yet
Development

No branches or pull requests

3 participants