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[Other] Add detection, segmentation and OCR examples for Ascend deploy. (#983)

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* Add Huawei Ascend NPU deploy through PaddleLite CANN

* Add NNAdapter interface for paddlelite

* Modify Huawei Ascend Cmake

* Update way for compiling Huawei Ascend NPU deployment

* remove UseLiteBackend in UseCANN

* Support compile python whlee

* Change names of nnadapter API

* Add nnadapter pybind and remove useless API

* Support Python deployment on Huawei Ascend NPU

* Add models suppor for ascend

* Add PPOCR rec reszie for ascend

* fix conflict for ascend

* Rename CANN to Ascend

* Rename CANN to Ascend

* Improve ascend

* fix ascend bug

* improve ascend docs

* improve ascend docs

* improve ascend docs

* Improve Ascend

* Improve Ascend

* Move ascend python demo

* Imporve ascend

* Improve ascend

* Improve ascend

* Improve ascend

* Improve ascend

* Imporve ascend

* Imporve ascend

* Improve ascend

* acc eval script

* acc eval

* remove acc_eval from branch huawei

* Add detection and segmentation examples for Ascend deployment

* Add detection and segmentation examples for Ascend deployment

* Add PPOCR example for ascend deploy

* Imporve paddle lite compiliation

* Add FlyCV doc

* Add FlyCV doc

* Add FlyCV doc

* Imporve Ascend docs

* Imporve Ascend docs
This commit is contained in:
yunyaoXYY
2023-01-04 10:01:23 +08:00
committed by GitHub
parent 2cfd331889
commit 58d63f3e90
57 changed files with 694 additions and 93 deletions
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24
python/fastdeploy/vision/ocr/ppocr/__init__.py
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@@ -509,15 +509,15 @@ class RecognizerPreprocessor:
return self._preprocessor.run(input_ims)
@property
def static_shape(self):
return self._preprocessor.static_shape
def static_shape_infer(self):
return self._preprocessor.static_shape_infer
@static_shape.setter
def static_shape(self, value):
@static_shape_infer.setter
def static_shape_infer(self, value):
assert isinstance(
value,
bool), "The value to set `static_shape` must be type of bool."
self._preprocessor.static_shape = value
bool), "The value to set `static_shape_infer` must be type of bool."
self._preprocessor.static_shape_infer = value
@property
def is_scale(self):
@@ -638,15 +638,15 @@ class Recognizer(FastDeployModel):
self._model.postprocessor = value
@property
def static_shape(self):
return self._model.preprocessor.static_shape
def static_shape_infer(self):
return self._model.preprocessor.static_shape_infer
@static_shape.setter
def static_shape(self, value):
@static_shape_infer.setter
def static_shape_infer(self, value):
assert isinstance(
value,
bool), "The value to set `static_shape` must be type of bool."
self._model.preprocessor.static_shape = value
bool), "The value to set `static_shape_infer` must be type of bool."
self._model.preprocessor.static_shape_infer = value
@property
def is_scale(self):