Computer Vision Robot
Library for computer vision code in Google Colab and Raspberry Pi. Uses Yolo v3 with OpenCV.
Config:
Place the following files in the same directory as your script to configure.
- CONFIG_CV_SERVER.py - runs in server mode
- CONFIG_CV_ROBOT.py - runs in server mode on robot
- CONFIG_CV_LIVE_IMG.py - replaces server preview with matplotlib window
By default, the code will not use cameras (great for Google Colab!)
Example:
#Imports
from CV_Robot import robot
from CV_Robot import vision
from time import sleep
#Example - find objects in an image
img = vision.load_image("sample_images/sample_005.png")
vision.show_image(img)
vision.show_objects(img, pause=True)
print(vision.find_objects(img))
#Example - drive forward until a STOP_SIGN is found
robot.forward()
vision.activate_camera()
while True:
img = vision.get_camera_image()
if img is None: #This is good practice - it will stop the loop if the video ends / the camera fails
break
vision.show_objects(img)
if vision.Objects.STOP_SIGN in vision.find_objects(img):
break
sleep(0.1)
robot.stop()
Data Sources
https://github.com/nandinib1999/object-detection-yolo-opencv
#Download some sample videos + images for testing
wget https://github.com/nandinib1999/object-detection-yolo-opencv/raw/master/videos/pedestrians.mp4
wget https://github.com/nandinib1999/object-detection-yolo-opencv/raw/master/videos/car_on_road.mp4
wget -O sample_images.zip https://github.com/RobertJN64/CV_Robot/raw/master/Examples/Samples/100samples.zip
unzip sample_images.zip -d sample_images
1 maintainer
Metadata
1 maintainer
Release files for CV-Robot 0.4.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| cv_robot-0.4.6.tar.gz | 8.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cv_robot-0.4.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.1 kB
Release files / cv_robot-0.4.6.tar.gz
| Download URL | cv_robot-0.4.6.tar.gz |
|---|---|
| Size | 8.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
57578c25870adfc145a12f0942fc97f8749ee94fb67f703c2d0e285dc8c2242d
|
|
BLAKE2b-256 checksum How to use checksums |
f401ea5f452692f89301090cf3ee7ada692fcdc30f4ff34b101623742a9428b2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.23
|
Release files / cv_robot-0.4.6-py3-none-any.whl
| Download URL | cv_robot-0.4.6-py3-none-any.whl |
|---|---|
| Size | 9.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3e0f55453b158cbd154ebe6212c26a27b0e9c6f2037d3661757118ffe48f4048
|
|
BLAKE2b-256 checksum How to use checksums |
4bd2ed434786ac77cfd57cf7bd827ac52a6fff05689360c6c403e04282c5ef06
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.23
|
Security for CV-Robot 0.4.6
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
