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# System prepended metadata

title: PJ Overview

---

# PJ Overview
## Input
- Video of gate at one company
    -  30 hours 
- Employees tap their card at the gate when they go in or out
- Registration log by tap card
    - Truth label

## Output
1. Csv file including predicted id, time, confidence score 
2. Add new column "Result" which shows whether the model suceed to recognize or not in registration log.
    - we have to define how to take it as success  


## Tasks
1. Get output no1 in local with small samples
2. Prepare gpu environment to run the code
3. Create defenition of "Success"
4. Get final result based on output no1


## Notice
1. The script might skip some frames
    - ex) put the frames in queue and delete old ones once the queue gets full
2. Current script write detected images
    - we better stop it since it is unnessesary
3. Assume nobody is in most of the frames
    - skip the frame properly right after detection