Unexpected input data type

I am trying to run the /extract endpoint but it always throws me the same error. The Docker image was built successfully and other API endpoints like /draw_detections run fine (I pass the images as base64 strings). Only the /extract endpoint fails. I am using the default glintr100 recognition model

OS: Windows 10 (No GPU - Using the deploy_cpu.sh’s env variables)

insightface_1  | [15:32:00] INFO - Detector started
insightface_1  | [15:32:00] INFO - Warming up face detection ONNX Runtime engine...
insightface_1  | [15:32:02] INFO - Warming up ArcFace ONNX Runtime engine...
insightface_1  | [15:32:03] INFO - Warming up GenderAge ONNX Runtime engine...
insightface_1  | [2022-06-30 15:32:03 +0000] [19] [INFO] Started server process [19]
insightface_1  | [2022-06-30 15:32:03 +0000] [19] [INFO] Waiting for application startup.
insightface_1  | [2022-06-30 15:32:03 +0000] [19] [INFO] Application startup complete.
insightface_1  | [2022-06-30 15:32:14 +0000] [19] [ERROR] Exception in ASGI application
insightface_1  | Traceback (most recent call last):
insightface_1  |   File "/usr/local/lib/python3.8/site-packages/uvicorn/protocols/http/h11_impl.py", line 403, in run_asgi
insightface_1  |     result = await app(self.scope, self.receive, self.send)
insightface_1  |   File "/usr/local/lib/python3.8/site-packages/uvicorn/middleware/proxy_headers.py", line 78, in __call__
insightface_1  |     return await self.app(scope, receive, send)
insightface_1  |   File "/usr/local/lib/python3.8/site-packages/fastapi/applications.py", line 269, in __call__
insightface_1  |     await super().__call__(scope, receive, send)
insightface_1  |   File "/usr/local/lib/python3.8/site-packages/starlette/applications.py", line 124, in __call__
insightface_1  |     await self.middleware_stack(scope, receive, send)
insightface_1  |   File "/usr/local/lib/python3.8/site-packages/starlette/middleware/errors.py", line 184, in __call__
insightface_1  |     raise exc
insightface_1  |   File "/usr/local/lib/python3.8/site-packages/starlette/middleware/errors.py", line 162, in __call__
insightface_1  |     await self.app(scope, receive, _send)
insightface_1  |   File "/usr/local/lib/python3.8/site-packages/starlette/exceptions.py", line 93, in __call__
insightface_1  |     raise exc
insightface_1  |   File "/usr/local/lib/python3.8/site-packages/starlette/exceptions.py", line 82, in __call__
insightface_1  |     await self.app(scope, receive, sender)
insightface_1  |   File "/usr/local/lib/python3.8/site-packages/fastapi/middleware/asyncexitstack.py", line 21, in __call__
insightface_1  |     raise e
insightface_1  |   File "/usr/local/lib/python3.8/site-packages/fastapi/middleware/asyncexitstack.py", line 18, in __call__
insightface_1  |     await self.app(scope, receive, send)
insightface_1  |   File "/usr/local/lib/python3.8/site-packages/starlette/routing.py", line 670, in __call__
insightface_1  |     await route.handle(scope, receive, send)
insightface_1  |   File "/usr/local/lib/python3.8/site-packages/starlette/routing.py", line 266, in handle
insightface_1  |     await self.app(scope, receive, send)
insightface_1  |   File "/usr/local/lib/python3.8/site-packages/starlette/routing.py", line 65, in app
insightface_1  |     response = await func(request)
insightface_1  |   File "/usr/local/lib/python3.8/site-packages/fastapi/routing.py", line 227, in app
insightface_1  |     raw_response = await run_endpoint_function(
insightface_1  |   File "/usr/local/lib/python3.8/site-packages/fastapi/routing.py", line 160, in run_endpoint_function
insightface_1  |     return await dependant.call(**values)
insightface_1  |   File "/app/app.py", line 80, in extract
insightface_1  |     output = await processing.extract(images, max_size=data.max_size, return_face_data=data.return_face_data,
insightface_1  |   File "/app/modules/processing.py", line 195, in extract
insightface_1  |     output = await self.embed(images, max_size=max_size, return_face_data=return_face_data, threshold=threshold,
insightface_1  |   File "/app/modules/processing.py", line 142, in embed
insightface_1  |     faces_by_img = (e for e in await _get([img for img in imgs_iterable]))
insightface_1  |   File "/app/modules/face_model.py", line 278, in get
insightface_1  |     faces = list(self.process_faces(faces,
insightface_1  |   File "/app/modules/face_model.py", line 149, in process_faces
insightface_1  |     ga = self.ga_model.get(crops)
insightface_1  |   File "/app/modules/model_zoo/exec_backends/onnxrt_backend.py", line 65, in get
insightface_1  |     ret = self.rec_model.run(self.outputs, {self.input.name: imgs})[0]
insightface_1  |   File "/usr/local/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 192, in run
insightface_1  |     return self._sess.run(output_names, input_feed, run_options)
insightface_1  | onnxruntime.capi.onnxruntime_pybind11_state.InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Unexpected input data type. Actual: (tensor(uint8)) , expected: (tensor(float))

[SthPhoenix]

Applied fix, should be working now out of the box

[SthPhoenix]

Oh, I totally missed you have enabled gender/age model, which seems to be source of this error. Thanks, I’ll fix it shortly.

P.S. Actually, at closer look you have changed quiet a lot default settings, which is a bit opposite to:

I use the exact same environment variables