Comments (1)
Due to the changes in architecture away from that of the originals (see paper), not all the connections map directly to those present in the pretrained full architecture models. For this reason - we trained from scratch.
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.