This app is used for estimating the distance between two balls from a monocular RGB image.
Upload an image from the left bar, and the result will be output automatically.
Click the check box (Result semantic segmentation), and you can see reslut of semantic segmentation.
There are no restrictions on the direction of shooting. Since real-time semantic segmentation(ESPNetv2) is used in this application, it can be reasoned with fast speed.
Detail algorizm of this App is here:
https://www.slideshare.net/RidgeiSlideshare/may-internship-challenge-estimating-distance-between-two-balls-app
ESPNetv2 paper link:
https://arxiv.org/abs/1811.11431
Repositry of ESPNetv2 is here:
https://github.com/sacmehta/EdgeNets
- Python==3.6.9
- torch==1.4.0
- torchvision==0.5.0
- streamlit==0.48.1
- opencv-python==3.4.1.15
git clone https://github.com/oki5656/Estimating_Distance.git
streamlit run app.pyThe app needs prior information below
・camera rangle of view
・number of pixels when the ball is at the reference distance
- ikuto oki
- Tsukuba University