Comments (3)
I added a test script under src/image_classification. This script is pretty straightforward, as it loads the saved model and makes a prediction on a single image.
If you want to test multiple images, I would recommend using a data generator. (Documentation)
from fruit-images-dataset.
@Horea94 Thanks so much for this update. I run this file and its working fine. I'm getting result in terminal mode, how to save resultant image? I mean how to get predicted image with detected box around the object?
from fruit-images-dataset.
The model in this repo is a classifier. That is, it provides only a label prediction based on an input image.
For bounding box prediction, you would need a detector like Faster R-CNN, YOLO or SSD.
from fruit-images-dataset.
Related Issues (20)
- Bouding box on predicted fruit HOT 1
- training file
- same problem in run HOT 10
- problem in test HOT 2
- (unicode error) 'unicodeescape' codec can't decode bytes in position 2-3: truncated \UXXXXXXXX escape HOT 1
- Problems to run freeze_graph HOT 16
- Checkpoint error when freezing HOT 1
- Infrared images HOT 1
- Bad image HOT 1
- Issue with lables_file HOT 2
- MacOS clone and run, this error occurs: OSError: Unable to open file (unable to open file: name = 'output_files/fruit-360 model/model.h5', HOT 2
- how to feed network with custom image? HOT 2
- [QUESTION] How to use the trained model in tensorflow? HOT 7
- Training issue HOT 6
- extract_images documentation HOT 7
- Is it bug ???? HOT 9
- How to use folder test-multiple_fruits for code ? HOT 11
- Partial accuracy 0.000??? HOT 13
- Filename typo HOT 1
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from fruit-images-dataset.