The ResNet for image classification script (image_classification_opencv_restnet_50_caffe.py) will use ResNet-50 with Caffe pre-trained models to perform image classification.
The output can be seen in the following screenshot:
As shown in the previous screenshot, the top prediction corresponds to a church with a probability of 0.9955400825.
The top 10 predictions are as follows:
- 1. label: church, probability: 0.9955400825
- 2. label: dome, probability: 0.002429900225
- 3. label: bell cote, probability: 0.0007424423238
- 4. label: monastery, probability: 0.0003768313909
- 5. label: picket fence, probability: 0.0003282549733 ...
