EndtoEndCroppingSystem
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CVBase-Bupt
End-to-End Cropping System
This is an offical implemenation for An End-to-End Neural Network for Image Cropping by Learning Composition from Aesthetic Photos.
Given a source image, our algorithm could take actions step by step to find almost the best cropping window on source image.
Get Start
Install the python libraries. (See Requirements).
Download the code from GitHub:
git clone https://github.com/CVBase-Bupt/EndtoEndCroppingSystem.git
cd EndtoEndCroppingSystem
Run the python script:
python demo.py [your image path]
Before you run, please download our pre-trained models.We have released 6 models based on different scale (224,384,512) and ratio (square or not). If you want to use any of them, just:
link：https://pan.baidu.com/s/11m4mNhUdFUlTThRXDL7XLA password：vzwb
Put the weight file under the dirctory weights
Fix the config file models/config.py, change the self.ratio and self.scale in the __init__function.
Requirement
Python
keras(we use version 2.2.4)
tensorflow 1.13.1
opencv-python 2.4.9
Performance
On FLMS:
| model | IOU | BDE |
|---|---|---|
| model__224 | 0.846 | 0.026 |
| model__384 | 0.844 | 0.027 |
| model__512 | 0.845 | 0.028 |
| model_square_224 | 0.840 | 0.028 |
| model_square_384 | 0.843 | 0.028 |
| model_square_512 | 0.842 | 0.028 |
On CUHK-ICD:
| model | IOU | BDE | IOU | BDE | IOU | BDE |
|---|---|---|---|---|---|---|
| model__224 | 0.822 | 0.032 | 0.815 | 0.034 | 0.803 | 0.036 |
| model__384 | 0.823 | 0.032 | 0.818 | 0.034 | 0.804 | 0.036 |
| model__512 | 0.825 | 0.032 | 0.820 | 0.034 | 0.806 | 0.036 |
| model_square_224 | 0.825 | 0.032 | 0.818 | 0.034 | 0.805 | 0.036 |
| model_square_384 | 0.827 | 0.032 | 0.817 | 0.034 | 0.804 | 0.036 |
| model_square_512 | 0.828 | 0.032 | 0.822 | 0.034 | 0.806 | 0.036 |
On FCD:
| model | IOU | BDE |
|---|---|---|
| model__224 | 0.673 | 0.058 |
| model__384 | 0.670 | 0.059 |
| model__512 | 0.664 | 0.060 |
| model_square_224 | 0.672 | 0.059 |
| model_square_384 | 0.670 | 0.059 |
| model_square_512 | 0.665 | 0.061 |
CVBase-Bupt