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fix inference bug in loading model

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Alex Bezdieniezhnykh
2025-06-11 07:23:14 +03:00
parent f9815a0a3f
commit 904bc688ca
2 changed files with 9 additions and 5 deletions
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Azaion.Inference/azaion-inference.spec
+1 -1
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@@ -4,7 +4,7 @@ from PyInstaller.utils.hooks import collect_all
datas = [('venv\\Lib\\site-packages\\cv2', 'cv2')] datas = [('venv\\Lib\\site-packages\\cv2', 'cv2')]
binaries = [] binaries = []
hiddenimports = ['constants', 'file_data', 'loader_client', 'remote_command', 'remote_command_handler', 'annotation', 'loader_client', 'ai_config', 'tensorrt_engine', 'onnx_engine', 'inference_engine', 'inference', 'main-inf'] hiddenimports = ['constants', 'file_data', 'remote_command', 'remote_command_handler', 'annotation', 'loader_client', 'ai_config', 'tensorrt_engine', 'onnx_engine', 'inference_engine', 'inference', 'main-inf']
hiddenimports += collect_submodules('cv2') hiddenimports += collect_submodules('cv2')
tmp_ret = collect_all('psutil') tmp_ret = collect_all('psutil')
datas += tmp_ret[0]; binaries += tmp_ret[1]; hiddenimports += tmp_ret[2] datas += tmp_ret[0]; binaries += tmp_ret[1]; hiddenimports += tmp_ret[2]
Azaion.Inference/inference.pyx
+8 -4
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@@ -102,11 +102,15 @@ cdef class Inference:
time.sleep(1) time.sleep(1)
engine_filename = TensorRTEngine.get_engine_filename(0) engine_filename = TensorRTEngine.get_engine_filename(0)
model_bytes = self.loader_client.load_big_small_resource(engine_filename, models_dir) res = self.loader_client.load_big_small_resource(engine_filename, models_dir)
self.engine = TensorRTEngine(model_bytes) if res.err is not None:
raise Exception(res.err)
self.engine = TensorRTEngine(res.data)
else: else:
model_bytes = self.loader_client.load_big_small_resource(constants.AI_ONNX_MODEL_FILE, models_dir) res = self.loader_client.load_big_small_resource(constants.AI_ONNX_MODEL_FILE, models_dir)
self.engine = OnnxEngine(model_bytes) if res.err is not None:
raise Exception(res.err)
self.engine = OnnxEngine(res.data)
self.model_height, self.model_width = self.engine.get_input_shape() self.model_height, self.model_width = self.engine.get_input_shape()