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How to perform faster-rcnn on new dataset?
See original GitHub issueI have followed the instructions and managed to run the demo successfully. According to instructions, to train a model on another dataset, one should use a command like this:
./experiments/scripts/train_faster_rcnn.sh [GPU_ID] [DATASET] [NET]
where [DATASET] can be pascal or coco. How can I run it on another dataset where annotation files are in .txt format, whereas in pascal the annotations are in xml?
Issue Analytics
- State:
- Created 6 years ago
- Comments:9
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I’ve just done what you ask for. There is a few places you need to change the python code in order to accomplish that.
First of you need to copy the pascal_voc.py in lib/datasets directory and implement your own _load_pascal_annotation function.
Changing the classes your interested in and also where your data files are located could be done in the same file.
Next up you update the factory.py file to include your new dataset.
Lastly you need to update the ./experiments/scripts/train_faster_rcnn.sh and ./experiments/scripts/test_faster_rcnn.sh to include your dataset.
@kalaspuffar, Hi Daniel, thanks for your information.