`INFO: 127.0.0.1:52954 - "POST /extract HTTP/1.1" 500 Internal Server Error
ERROR: Exception in ASGI application
Traceback (most recent call last):
File "/Users/tulpar/Projects/Deepfake-Detection2/venv/InsightFace-REST-Nov2021/lib/python3.8/site-packages/uvicorn/protocols/http/h11_impl.py", line 373, in run_asgi
result = await app(self.scope, self.receive, self.send)
File "/Users/tulpar/Projects/Deepfake-Detection2/venv/InsightFace-REST-Nov2021/lib/python3.8/site-packages/uvicorn/middleware/proxy_headers.py", line 75, in call
return await self.app(scope, receive, send)
File "/Users/tulpar/Projects/Deepfake-Detection2/venv/InsightFace-REST-Nov2021/lib/python3.8/site-packages/fastapi/applications.py", line 208, in call
await super().call(scope, receive, send)
File "/Users/tulpar/Projects/Deepfake-Detection2/venv/InsightFace-REST-Nov2021/lib/python3.8/site-packages/starlette/applications.py", line 112, in call
await self.middleware_stack(scope, receive, send)
File "/Users/tulpar/Projects/Deepfake-Detection2/venv/InsightFace-REST-Nov2021/lib/python3.8/site-packages/starlette/middleware/errors.py", line 181, in call
raise exc
File "/Users/tulpar/Projects/Deepfake-Detection2/venv/InsightFace-REST-Nov2021/lib/python3.8/site-packages/starlette/middleware/errors.py", line 159, in call
await self.app(scope, receive, _send)
File "/Users/tulpar/Projects/Deepfake-Detection2/venv/InsightFace-REST-Nov2021/lib/python3.8/site-packages/starlette/exceptions.py", line 82, in call
raise exc
File "/Users/tulpar/Projects/Deepfake-Detection2/venv/InsightFace-REST-Nov2021/lib/python3.8/site-packages/starlette/exceptions.py", line 71, in call
await self.app(scope, receive, sender)
File "/Users/tulpar/Projects/Deepfake-Detection2/venv/InsightFace-REST-Nov2021/lib/python3.8/site-packages/starlette/routing.py", line 656, in call
await route.handle(scope, receive, send)
File "/Users/tulpar/Projects/Deepfake-Detection2/venv/InsightFace-REST-Nov2021/lib/python3.8/site-packages/starlette/routing.py", line 259, in handle
await self.app(scope, receive, send)
File "/Users/tulpar/Projects/Deepfake-Detection2/venv/InsightFace-REST-Nov2021/lib/python3.8/site-packages/starlette/routing.py", line 61, in app
response = await func(request)
File "/Users/tulpar/Projects/Deepfake-Detection2/venv/InsightFace-REST-Nov2021/lib/python3.8/site-packages/fastapi/routing.py", line 226, in app
raw_response = await run_endpoint_function(
File "/Users/tulpar/Projects/Deepfake-Detection2/venv/InsightFace-REST-Nov2021/lib/python3.8/site-packages/fastapi/routing.py", line 159, in run_endpoint_function
return await dependant.call(**values)
File "/Users/tulpar/Projects/InsightFace-REST/src/api_trt/app.py", line 81, in extract
output = await processing.extract(images, max_size=data.max_size, return_face_data=data.return_face_data,
File "/Users/tulpar/Projects/InsightFace-REST/src/api_trt/modules/processing.py", line 201, in extract
output = await self.embed(images, max_size=max_size, return_face_data=return_face_data, threshold=threshold,
File "/Users/tulpar/Projects/InsightFace-REST/src/api_trt/modules/processing.py", line 151, in embed
faces_by_img = (e for e in await _get([img.facedata for img in imgs_iterable]))
File "/Users/tulpar/Projects/InsightFace-REST/src/api_trt/modules/face_model.py", line 256, in get
crops = face_align.norm_crop_batched(images[orig_id], landmarks)
File "/Users/tulpar/Projects/InsightFace-REST/src/api_trt/modules/utils/fast_face_align.py", line 134, in norm_crop_batched
Ms = estimate_norm_batch(landmarks, image_size, mode)
File "/Users/tulpar/Projects/Deepfake-Detection2/venv/InsightFace-REST-Nov2021/lib/python3.8/site-packages/numba/core/dispatcher.py", line 482, in _compile_for_args
error_rewrite(e, 'typing')
File "/Users/tulpar/Projects/Deepfake-Detection2/venv/InsightFace-REST-Nov2021/lib/python3.8/site-packages/numba/core/dispatcher.py", line 423, in error_rewrite
raise e.with_traceback(None)
numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
Failed in nopython mode pipeline (step: nopython frontend)
Failed in nopython mode pipeline (step: nopython frontend)
No implementation of function Function(<function det at 0x7feaa86f75e0>) found for signature:
det(array(float64, 2d, C))
There are 2 candidate implementations:
Of which 2 did not match due to:
Overload in function 'det_impl': File: numba/np/linalg.py: Line 2017.
With argument(s): '(array(float64, 2d, C))':
Rejected as the implementation raised a specific error:
ImportError: scipy 0.16+ is required for linear algebra
raised from /Users/tulpar/Projects/Deepfake-Detection2/venv/InsightFace-REST-Nov2021/lib/python3.8/site-packages/numba/np/linalg.py:65
During: resolving callee type: Function(<function det at 0x7feaa86f75e0>)
During: typing of call at /Users/tulpar/Projects/InsightFace-REST/src/api_trt/modules/utils/fast_face_align.py (69)
File "modules/utils/fast_face_align.py", line 69:
def _umeyama(src, dst, estimate_scale):
d = np.ones((dim,), dtype=np.double)
if np.linalg.det(A) < 0:
^
During: resolving callee type: type(CPUDispatcher(<function _umeyama at 0x7fead85ab310>))
During: typing of call at /Users/tulpar/Projects/InsightFace-REST/src/api_trt/modules/utils/fast_face_align.py (114)
During: resolving callee type: type(CPUDispatcher(<function _umeyama at 0x7fead85ab310>))
During: typing of call at /Users/tulpar/Projects/InsightFace-REST/src/api_trt/modules/utils/fast_face_align.py (114)
File "modules/utils/fast_face_align.py", line 114:
def estimate_norm(lmk, image_size=112, mode='arcface'):
Benchmark configs:
Number of iterations: 10
Minimum num. of files per iter: 1000
Number of threads: 10
No data directory provided. Using test_images/Stallone.jpg for testing.
Total files detected: 1
Number of files is less than 1000. Files will be cycled.
Running benchmark...
multiprocessing.pool.RemoteTraceback:
"""
Traceback (most recent call last):
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/multiprocessing/pool.py", line 125, in worker
result = (True, func(*args, **kwds))
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/multiprocessing/pool.py", line 48, in mapstar
return list(map(*args))
File "/Users/tulpar/Projects/InsightFace-REST/demo_client.py", line 111, in extract
content = ujson.loads(resp.content)
ValueError: Expected object or value
"""
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/Users/tulpar/Projects/InsightFace-REST/demo_client.py", line 196, in
r = pool.map(_part_extract_vecs, im_batches)
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/multiprocessing/pool.py", line 364, in map
return self._map_async(func, iterable, mapstar, chunksize).get()
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/multiprocessing/pool.py", line 771, in get
raise self._value
ValueError: Expected object or value
That seems to be related to issue with numba cache I have mentioned in #62 , for some reason if cache was first built for GPU version it won't work in CPU version, you can try clearing caches or just run from clean clone.
