I checked your real time object detection app which works fine with the initial models (MobileNet V1, EfficientNet Lite0, EfficientNet Lite1, EfficientNet Lite2). examples/lite/examples/object_detection/android at master · tensorflow/examples · GitHub
But I receive errors when I try to add other model for example yolo5s model trained on COCO dataset which converted from pt format to tflite with export.py script yolov5/export.py at master · ultralytics/yolov5 · GitHub
Below are the converted models for yolo5s (fp16 and int8 options) and I already checked they are working fine with detect.py.
I don’t understand why it is not possible to deploy/integrate other models in your real time object detection app, I am sure other users would like to use/add other models also except those initial 4 models mentioned above. Please can you check if you can deploy in your object detection app one of those two models (fp16 or int8) I shared with you above. I hope you can advice me how to fix the issue.
Look forward to hearing from you and thank you in advance!