Metadata-Version: 2.1
Name: example-pkg-yjko
Version: 0.0.1
Summary: A small example package
Home-page: UNKNOWN
Author: yjko
Author-email: fft6804@gmail.com
License: UNKNOWN
Description: # tensorflow-object-contour-detection
        
        This is a tensorflow implimentation of Object Contour Detection with a Fully Convolutional Encoder-Decoder Network (https://arxiv.org/pdf/1603.04530.pdf) . 
        
        **REQUIREMENTS :**
        
        ```
        pip install requirements.txt
        ```
        **Label Preparation :**
        
        To prepare the labels for contour detection from PASCAL Dataset , run create_lables.py and edit the file to add the path of the labels and new labels to be generated . Use this path for labels during training. 
        
        **TRAINING :**
        
        ```
        python train.py \
            --max_to_keep=50 \
            --Epochs=100 \
            --momentum=0.9 \
            --learning_rate=.0000001 \
            --train_crop_size=480 \
            --clip_by_value=1.0 \
            --train_text = ${path to text file} \
            --log_dir = ${path to where logs will be saved} \
            --tf_initial_checkpoint=${PATH_TO_CHECKPOINT} \
            --label_dir = ${path to label directory} \
            --image_dir = ${path to image directory}
        ```
        **EVALUATION :**
        ```
        python eval.py \
            --checkpoint=${path to checkpoint to be evaluated} \
            --save_preds=${path to folder where predictions will be saved} \
            --image_dir = ${path to image directory} \
            --eval_crop_size=480 \
            --eval_text =  ${path to eval text file}
        
        ```
        **Results :**
        
        <img src="./000999.jpg" alt="Image_1"/>
        
        <img src="./000999.png" alt="prediction_1"/>
        
        <img src="./000129.jpg" alt="Image_1"/>
        
        <img src="./000129.png" alt="prediction_1"/>
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.5
Description-Content-Type: text/markdown
