Comments (1)
You need to use opencv with the extra modules build/enabled as per the README - "(requires opencv extra modules - ximgproc module for superpixel segmentation)".
See: https://github.com/opencv/opencv_contrib
from fire-detection-cnn.
Related Issues (20)
- How to detect a fire on the image ? HOT 2
- Conversion commands listed in README fail: Symbol name "tensorflow.TensorShapeProto" conflicts with the existing symbol "tensorflow.TensorShapeProto" HOT 2
- The Tensorflow conversion command doesn't create the same TF model as in the paper HOT 4
- Please add some validation images to the project HOT 17
- changing tensor's shape/Keras implementation HOT 3
- Labeling the fire in real-time HOT 1
- Fire Annotation HOT 1
- reason for 2 separate classes, validation dataset HOT 1
- Tensor flow 2.0 compatibility issue HOT 3
- About training paramters HOT 4
- how to use pd to generate pbtxt HOT 4
- Error while executing firenet.py- TensorFlow 2.0 HOT 1
- Cannot download the datasets or the pretrained models HOT 1
- any Car tail lamp in night, is detected as "fire" in your model. How can I improve this ? HOT 1
- http://doi.org/10.15128/r25x21tf409. Download interrupted after a period of time. HOT 1
- How to train this model? HOT 1
- Can' find Dunnings annotations HOT 1
- RuntimeError: dictionary changed size during iteration HOT 1
- models/FireNet file not found HOT 1
- Environment problems HOT 2
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from fire-detection-cnn.