This system could detect 16 brand logos.
Adidas Apple BMW Cocacola Ferrari Google Heineken McDonalds Mini Nike Pepsi Porsche Puma RedBull Sprite Starbucks
Weights file link : https://nas.gclab.cs.kookmin.ac.kr:5001/sharing/tizrp8gfx
Weights file path : model_data/yolo_logo.h5
Webcam mode : python blur_logo.py --webcam
Input video or image mode : python blur_logo.py --input "File path" --output "File path"
Use --help to see usage of blur_logo.py:
usage: blur_logo.py [-h] [--model MODEL] [--anchors ANCHORS]
[--classes CLASSES] [--gpu_num GPU_NUM]
[--input] [--output][--webcam]
positional arguments:
--input Video input path
--output Video output path
optional arguments:
-h, --help show this help message and exit
--model MODEL path to model weight file, default model_data/yolo.h5
--anchors ANCHORS path to anchor definitions, default
model_data/yolo_anchors.txt
--classes CLASSES path to class definitions, default
model_data/coco_classes.txt
--gpu_num GPU_NUM Number of GPU to use, default 1
- MultiGPU usage: use
--gpu_num N
to use N GPUs. It is passed to the Keras multi_gpu_model().
The original code address : https://github.com/qqwweee/keras-yolo3