CheckDAPR is a novel DAPR assessment system, which can automatically analyze the drawing test, Draw-A-Person-in-the-Rain (DAPR), a psychological drawing assessment used for identifying stressful experiences and coping behavior. This system uses a Multimodal Large Language Model(MLLM) to refine object detection results and correct inaccuracies in sketches by evaluating existing models, and its MLLM also produces a DAPR assessment report that calculates detailed scores.
This is the official implementation of CheckDAPR accepted in the 34th ACM International Conference on Information and Knowledge Management (CIKM 2025)! 🎉
git clone https://github.com/DSAIL-SKKU/CheckDAPR.git
cd CheckDAPR
pip install -r requirements.txt
This example image is based on the SceneDAPR test set.
example/ folder contains txt files for the results of stage1 and stage2.
python CheckDAPR.py
This code uses the pre-trained object detection model YOLO-v8 and it employs Claude 3.5 Sonnet as the MLLM.
In the API key section of this code (line 7), enter your own API key.
# API Key
api_key = "your api key"