https://github.com/amanpriyanshu/streamlinedfacedetection
The project is meant to be used for simple streamlined implementations during competitions and hackathons. It is meant for Face Detection and will use the OpenCV-DNN framework which is one of the few fast, memory-efficient and easy to implement Face Detection models.
https://github.com/amanpriyanshu/streamlinedfacedetection
Last synced: about 2 months ago
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The project is meant to be used for simple streamlined implementations during competitions and hackathons. It is meant for Face Detection and will use the OpenCV-DNN framework which is one of the few fast, memory-efficient and easy to implement Face Detection models.
- Host: GitHub
- URL: https://github.com/amanpriyanshu/streamlinedfacedetection
- Owner: AmanPriyanshu
- Created: 2021-08-13T16:39:45.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2021-08-13T17:08:43.000Z (about 4 years ago)
- Last Synced: 2025-07-08T18:12:14.662Z (3 months ago)
- Language: Python
- Size: 9.35 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# StreamlinedFaceDetection
The project is meant to be used for simple streamlined implementations during competitions and hackathons. It is meant for Face Detection and will use the OpenCV-DNN framework which is one of the few fast, memory-efficient and easy to implement Face Detection models.
## Installation:
Terminal:
`git clone https://github.com/AmanPriyanshu/StreamlinedFaceDetection.git`
On Notebooks:
```py
!git clone https://github.com/AmanPriyanshu/StreamlinedFaceDetection.git
```
## Imports:
```py
from StreamlinedFaceDetection.detect import Detect
```
## Execution:
```py
d = Detect()
img = cv2.imread(path)
orig, img, boxes, confidences = d.detect_in_image(img)
```
## Display Images with Faces Bounded:
```py
import cv2
cv2.imshow(img)
```
On Google Colab:
```py
from google.colab.patches import cv2_imshow
cv2_imshow(img)
```