snowman_yolo.rar

# Extra ## Ground-Truth: - ### convert `xml` to our format: 1) Insert ground-truth xml files into **ground-truth/** 2) Run the python script: `python convert_gt_xml.py` - ### convert YOLO to our format: 1) Add class list to the file `class_list.txt` 2) Insert ground-truth files into **ground-truth/** 3) Insert images into **images/** 4) Run the python script: `python convert_gt_yolo.py` - ### convert keras-yolo3 to our format: 1) Add or update the class list to the file `class_list.txt` 2) Use the parameter `--gt` to set the **ground-truth** source. 3) Run the python script: `python3 convert_keras-yolo3.py --gt <gt_file_path>` 1) Supports only python 3. 2) This code can handle recursive annotation structure. Just use the `-r` parameter. 3) The converted annotation is placed by default in a new from_kerasyolo3 folder. You can change that with the parameter `-o`. 4) The format is defined according with github.com/qqwweee/keras-yolo3 ## Predicted: - ### convert darkflow `json` to our format: 1) Insert result json files into **predicted/** 2) Run the python script: `python convert_pred_darkflow_json.py` - ### convert YOLO to our format: After runnuning darknet on a list of images, e.g.: `darknet.exe detector test data/voc.data yolo-voc.cfg yolo-voc.weights -dont_show -ext_output < data/test.txt > result.txt` 1) Copy the file `result.txt` to the folder `extra/` 2) Run the python script: `python convert_pred_yolo.py` - ### convert keras-yolo3 to our format: 1) Add or update the class list to the file `class_list.txt` 2) Use the parameter `--predicted` to set the **prediction** source. 3) Run the python script: `python3 convert_keras-yolo3.py --pred <prediction_file_path>` 1) Supports only python 3. 2) This code can handle recursive annotation structure. Just use the `-r` parameter. 3) The converted annotation is placed by default in a new from_kerasyolo3 folder. You can change that with the parameter `-o`. 4) The format is defined according with github.com/gustavovaliati/keras-yolo3 ## Remove specific char delimiter from files E.g. remove `;` from: `<class_name>;<left>;<top>;<right>;<bottom>` to: `<class_name> <left> <top> <right> <bottom>` In the case you have the `--ground-truth` or `--predicted` files in the right format but with a specific char being used as a delimiter (e.g. `";"`), you can remove it by running: `python remove_delimiter_char.py --char ";" --ground-truth` ## Find the files that contain a specific class of objects 1) Run the `find_class.py` script and specify the **class** as argument, e.g. `python find_class.py chair` ## Remove all the instances of a specific class of objects 1) Run the `remove_class.py` script and specify the **class** as argument, e.g. `python remove_class.py chair` ## Rename a specific class of objects 1) Run the `rename_class.py` script and specify the `--current-class-name` and `--new-class-name` as arguments, e.g. `python rename_class.py --current-class-name Picture Frame --new-class-name PictureFrame` ## Rename all classes by replacing spaces with delimiters Use this option instead of the above option when you have a lot of classes with spaces. It's useful when renaming classes with spaces become tedious (because you have a lot of them). 1) Add class list to the file `class_list.txt` (the script will search this file for class names with spaces) 2) Run the `remove_space.py` script and specify the `--delimiter` (default: "-") and `--yes` if you want to force confirmation on all yes/no queries, e.g. `python remove_space.py --delimiter "-" --yes` ## Intersect ground-truth and predicted files This script ensures same number of files in ground-truth and predicted folder. When you encounter file not found error, it's usually because you have mismatched numbers of ground-truth and predicted files. You can use this script to move ground-truth and predicted files that are not in the intersection into a backup folder (backup_no_matches_found). This will retain only files that have the same name in both folders. 1) Prepare `.txt` files in your `ground-truth` and `predicted` folders. 2) Run the `intersect-gt-and-pred.py` script to move non-intersected files into a backup folder (default: `backup_no_matches_found`). `python intersect-gt-and-pred.py`