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YOLO-World-V2

This document explains how to run the YOLO-World-V2 example application on a host device equipped with the Radxa AICore AX-M1.

Download Example Application Repository​

Use huggingfcae-cli to download the example application repository.

Host
pip3 install -U "huggingface_hub[cli]"
huggingface-cli download AXERA-TECH/YOLO-World-V2 --local-dir ./YOLO-World-V2
cd YOLO-World-V2

Example Usage​

Model Inference​

Host
chmod +x ./axcl_aarch64/axcl_yolo_world_open_vocabulary
./axcl_aarch64/axcl_yolo_world_open_vocabulary -m ./ax650/yoloworldv2_4cls_50_npu3.axmodel -i ./ssd_horse.jpg -t ./person.bin
(.venv) rock@rock-5b-plus:~/ssd/axera/YOLO-World-V2$ ./axcl_aarch64/axcl_yolo_world_open_vocabulary -m ./ax650/yoloworldv2_4cls_50_npu3.axmodel -i ./ssd_horse.jpg -t ./person.bin
--------------------------------------
model file : ./ax650/yoloworldv2_4cls_50_npu3.axmodel
image file : ./ssd_horse.jpg
text_feature file : ./person.bin
img_h, img_w : 640 640
--------------------------------------
axclrtEngineCreateContextt is done.
axclrtEngineGetIOInfo is done.

grpid: 0

input size: 2
    name:   images
        1 x 640 x 640 x 3

    name: txt_feats
        1 x 4 x 512


output size: 3
    name:  stride8
        1 x 80 x 80 x 68

    name: stride16
        1 x 40 x 40 x 68

    name: stride32
        1 x 20 x 20 x 68

==================================================

Engine push input is done.
--------------------------------------
post process cost time:0.26 ms
--------------------------------------
Repeat 1 times, avg time 4.56 ms, max_time 4.56 ms, min_time 4.56 ms
--------------------------------------
detection num: 3
 0:  83%, [ 272,   14,  349,  234], class1
 0:  67%, [ 431,  124,  452,  178], class1
 0:  38%, [ 402,  130,  410,  147], class1
--------------------------------------

yolo_world_v2 demo output