automatic import of python-blobconverteropeneuler20.03

author: CoprDistGit <infra@openeuler.org> 2023-05-10 04:14:46 +0000
committer: CoprDistGit <infra@openeuler.org> 2023-05-10 04:14:46 +0000
commit: 1be7eddf80d0ab189eab914354a6e947f2dc9ab3 (patch)
tree: 457866950a1bc8e3072521d9dc264a8ad5a3a5e1
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+/blobconverter-1.4.1.tar.gz
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+%global _empty_manifest_terminate_build 0
+Name:		python-blobconverter
+Version:	1.4.1
+Release:	1
+Summary:	The tool that allows you to convert neural networks to MyriadX blob
+License:	MIT
+URL:		https://github.com/luxonis/blobconverter
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/55/32/75d9b1fdb3a9cce0b43f7f14b3e094b81095640f42c54c61d46806b17c39/blobconverter-1.4.1.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-requests
+Requires:	python3-PyYAML
+Requires:	python3-boto3
+
+%description
+# BlobConverter CLI
+
+This tool allows you to convert neural network files (from various sources, like Tensorflow, Caffe or OpenVINO) 
+to MyriadX blob file
+
+## Installation
+
+```
+python3 -m pip install blobconverter
+```
+## Usage
+
+```
+usage: blobconverter [-h] [-zn ZOO_NAME] [-zt ZOO_TYPE] [-onnx ONNX_MODEL] [-cp CAFFE_PROTO] [-cm CAFFE_MODEL] [-tf TENSORFLOW_PB] [-ox OPENVINO_XML] [-ob OPENVINO_BIN]
+                     [-rawn RAW_NAME] [-rawc RAW_CONFIG] [-sh {1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16}] [-dt DATA_TYPE] [-o OUTPUT_DIR] [-v VERSION]
+                     [--optimizer-params OPTIMIZER_PARAMS] [--compile-params COMPILE_PARAMS] [--converter-url URL] [--no-cache] [--zoo-list] [--download-ir]
+
+optional arguments:
+  -h, --help            show this help message and exit
+  -zn ZOO_NAME, --zoo-name ZOO_NAME
+                        Name of a model to download from OpenVINO Model Zoo
+  -zt ZOO_TYPE, --zoo-type ZOO_TYPE
+                        Type of the model zoo to use, available: "intel", "depthai"
+  -onnx ONNX_MODEL, --onnx-model ONNX_MODEL
+                        Path to ONNX .onnx file
+  -cp CAFFE_PROTO, --caffe-proto CAFFE_PROTO
+                        Path to Caffe .prototxt file
+  -cm CAFFE_MODEL, --caffe-model CAFFE_MODEL
+                        Path to Caffe .caffemodel file
+  -tf TENSORFLOW_PB, --tensorflow-pb TENSORFLOW_PB
+                        Path to TensorFlow .pb file
+  -ox OPENVINO_XML, --openvino-xml OPENVINO_XML
+                        Path to OpenVINO .xml file
+  -ob OPENVINO_BIN, --openvino-bin OPENVINO_BIN
+                        Path to OpenVINO .bin file
+  -rawn RAW_NAME, --raw-name RAW_NAME
+                        Name of the converted model (advanced)
+  -rawc RAW_CONFIG, --raw-config RAW_CONFIG
+                        Path to raw .yml file with model config (advanced)
+  -sh {1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16}, --shaves {1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16}
+                        Specifies number of SHAVE cores that converted model will use
+  -dt DATA_TYPE, --data-type DATA_TYPE
+                        Specifies model data type
+  -o OUTPUT_DIR, --output-dir OUTPUT_DIR
+                        Directory where the output blob should be saved
+  -v VERSION, --version VERSION
+                        OpenVINO version to use for conversion
+  --optimizer-params OPTIMIZER_PARAMS
+                        Additional params to use when converting a model to OpenVINO IR
+  --compile-params COMPILE_PARAMS
+                        Additional params to use when compiling a model to MyriadX blob
+  --converter-url URL   URL to BlobConverter API endpoint used for conversion
+  --no-cache            Omit .cache directory and force new compilation of the blob
+  --zoo-list            List all models available in OpenVINO Model Zoo
+  --download-ir         Downloads OpenVINO IR files used to compile the blob. Result path points to a result ZIP archive
+```
+
+## Conversion examples (cli)
+
+### OpenVINO Model Zoo
+
+```
+python3 -m blobconverter --zoo-name face-detection-retail-0004 --shaves 6
+```
+
+To list all available models, run
+
+```
+python3 -m blobconverter --zoo-list
+```
+
+### Caffe
+
+```
+python3 -m blobconverter --caffe-proto /path/to/mobilenet-ssd.prototxt --caffe-model /path/to/mobilenet-ssd.caffemodel --shaves 6
+```
+
+
+### TensorFlow
+
+```
+python3 -m blobconverter --tensorflow-pb /path/to/deeplabv3_mnv2_pascal_train_aug.pb --optimizer-params --reverse_input_channels --input_shape=[1,513,513,3] --input=1:mul_1 --output=ArgMax --shaves 6
+```
+
+
+### ONNX
+
+```
+python3 -m blobconverter --onnx-model /path/to/model.onnx --shaves 6
+```
+
+
+### OpenVINO IR
+
+```
+python3 -m blobconverter --openvino-xml /path/to/face-detection-retail-0004.xml --openvino-bin /path/to/face-detection-retail-0004.bin --shaves 7
+```
+
+
+### Raw model config (advanced)
+
+```
+python3 -m blobconverter --raw-config /path/to/model.yml --raw-name license-plate-recognition-barrier-0007 --shaves 6
+```
+
+## Conversion examples (Python)
+
+### OpenVINO Model Zoo
+
+```python
+import blobconverter
+
+blob_path = blobconverter.from_zoo(
+    name="face-detection-retail-0004", 
+    shaves=6,
+)
+```
+
+To get all available models, use
+
+```python
+import blobconverter
+
+available_models = blobconverter.zoo_list()
+```
+
+### Caffe
+
+```python
+import blobconverter
+
+blob_path = blobconverter.from_caffe(
+    proto="/path/to/mobilenet-ssd.prototxt",
+    model="/path/to/mobilenet-ssd.caffemodel",
+    data_type="FP16",
+    shaves=5,
+)
+```
+
+
+### TensorFlow
+
+```python
+import blobconverter
+
+blob_path = blobconverter.from_tf(
+    frozen_pb="/path/to/deeplabv3_mnv2_pascal_train_aug.pb",
+    data_type="FP16",
+    shaves=5,
+    optimizer_params=[
+        "--reverse_input_channels",
+        "--input_shape=[1,513,513,3]",
+        "--input=1:mul_1",
+        "--output=ArgMax",
+    ],
+)
+```
+
+### ONNX
+
+```python
+import blobconverter
+
+blob_path = blobconverter.from_onnx(
+    model="/path/to/model.onnx",
+    data_type="FP16",
+    shaves=5,
+)
+```
+
+
+### OpenVINO IR
+
+```python
+import blobconverter
+
+blob_path = blobconverter.from_openvino(
+    xml="/path/to/face-detection-retail-0004.xml",
+    bin="/path/to/face-detection-retail-0004.bin",
+    data_type="FP16",
+    shaves=5,
+)
+```
+
+
+### Raw model config (advanced)
+
+```python
+import blobconverter
+
+blob_path = blobconverter.from_config(
+    name="license-plate-recognition-barrier-0007",
+    path="/path/to/model.yml",
+    data_type="FP16",
+    shaves=5,
+)
+```
+
+### Use [DepthAI Model Zoo](https://github.com/luxonis/depthai-model-zoo) to download files
+
+```python
+import blobconverter
+
+blob_path = blobconverter.from_zoo(name="megadepth", zoo_type="depthai")
+```
+
+### Download using URLs instead of local files
+```python
+import blobconverter
+
+blob_path = blobconverter.from_openvino(
+    xml="https://storage.openvinotoolkit.org/repositories/open_model_zoo/2021.4/models_bin/3/age-gender-recognition-retail-0013/FP16/age-gender-recognition-retail-0013.xml",
+    xml_size=31526,
+    xml_sha256="54d62ce4a3c3d7f1559a22ee9524bac41101103a8dceaabec537181995eda655",
+    bin="https://storage.openvinotoolkit.org/repositories/open_model_zoo/2021.4/models_bin/3/age-gender-recognition-retail-0013/FP16/age-gender-recognition-retail-0013.bin",
+    bin_size=4276038,
+    bin_sha256="3586df5340e9fcd73ba0e2d802631bd9e027179490635c03b273d33d582e2b58"
+)
+```
+
+
+
+
+%package -n python3-blobconverter
+Summary:	The tool that allows you to convert neural networks to MyriadX blob
+Provides:	python-blobconverter
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-blobconverter
+# BlobConverter CLI
+
+This tool allows you to convert neural network files (from various sources, like Tensorflow, Caffe or OpenVINO) 
+to MyriadX blob file
+
+## Installation
+
+```
+python3 -m pip install blobconverter
+```
+## Usage
+
+```
+usage: blobconverter [-h] [-zn ZOO_NAME] [-zt ZOO_TYPE] [-onnx ONNX_MODEL] [-cp CAFFE_PROTO] [-cm CAFFE_MODEL] [-tf TENSORFLOW_PB] [-ox OPENVINO_XML] [-ob OPENVINO_BIN]
+                     [-rawn RAW_NAME] [-rawc RAW_CONFIG] [-sh {1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16}] [-dt DATA_TYPE] [-o OUTPUT_DIR] [-v VERSION]
+                     [--optimizer-params OPTIMIZER_PARAMS] [--compile-params COMPILE_PARAMS] [--converter-url URL] [--no-cache] [--zoo-list] [--download-ir]
+
+optional arguments:
+  -h, --help            show this help message and exit
+  -zn ZOO_NAME, --zoo-name ZOO_NAME
+                        Name of a model to download from OpenVINO Model Zoo
+  -zt ZOO_TYPE, --zoo-type ZOO_TYPE
+                        Type of the model zoo to use, available: "intel", "depthai"
+  -onnx ONNX_MODEL, --onnx-model ONNX_MODEL
+                        Path to ONNX .onnx file
+  -cp CAFFE_PROTO, --caffe-proto CAFFE_PROTO
+                        Path to Caffe .prototxt file
+  -cm CAFFE_MODEL, --caffe-model CAFFE_MODEL
+                        Path to Caffe .caffemodel file
+  -tf TENSORFLOW_PB, --tensorflow-pb TENSORFLOW_PB
+                        Path to TensorFlow .pb file
+  -ox OPENVINO_XML, --openvino-xml OPENVINO_XML
+                        Path to OpenVINO .xml file
+  -ob OPENVINO_BIN, --openvino-bin OPENVINO_BIN
+                        Path to OpenVINO .bin file
+  -rawn RAW_NAME, --raw-name RAW_NAME
+                        Name of the converted model (advanced)
+  -rawc RAW_CONFIG, --raw-config RAW_CONFIG
+                        Path to raw .yml file with model config (advanced)
+  -sh {1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16}, --shaves {1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16}
+                        Specifies number of SHAVE cores that converted model will use
+  -dt DATA_TYPE, --data-type DATA_TYPE
+                        Specifies model data type
+  -o OUTPUT_DIR, --output-dir OUTPUT_DIR
+                        Directory where the output blob should be saved
+  -v VERSION, --version VERSION
+                        OpenVINO version to use for conversion
+  --optimizer-params OPTIMIZER_PARAMS
+                        Additional params to use when converting a model to OpenVINO IR
+  --compile-params COMPILE_PARAMS
+                        Additional params to use when compiling a model to MyriadX blob
+  --converter-url URL   URL to BlobConverter API endpoint used for conversion
+  --no-cache            Omit .cache directory and force new compilation of the blob
+  --zoo-list            List all models available in OpenVINO Model Zoo
+  --download-ir         Downloads OpenVINO IR files used to compile the blob. Result path points to a result ZIP archive
+```
+
+## Conversion examples (cli)
+
+### OpenVINO Model Zoo
+
+```
+python3 -m blobconverter --zoo-name face-detection-retail-0004 --shaves 6
+```
+
+To list all available models, run
+
+```
+python3 -m blobconverter --zoo-list
+```
+
+### Caffe
+
+```
+python3 -m blobconverter --caffe-proto /path/to/mobilenet-ssd.prototxt --caffe-model /path/to/mobilenet-ssd.caffemodel --shaves 6
+```
+
+
+### TensorFlow
+
+```
+python3 -m blobconverter --tensorflow-pb /path/to/deeplabv3_mnv2_pascal_train_aug.pb --optimizer-params --reverse_input_channels --input_shape=[1,513,513,3] --input=1:mul_1 --output=ArgMax --shaves 6
+```
+
+
+### ONNX
+
+```
+python3 -m blobconverter --onnx-model /path/to/model.onnx --shaves 6
+```
+
+
+### OpenVINO IR
+
+```
+python3 -m blobconverter --openvino-xml /path/to/face-detection-retail-0004.xml --openvino-bin /path/to/face-detection-retail-0004.bin --shaves 7
+```
+
+
+### Raw model config (advanced)
+
+```
+python3 -m blobconverter --raw-config /path/to/model.yml --raw-name license-plate-recognition-barrier-0007 --shaves 6
+```
+
+## Conversion examples (Python)
+
+### OpenVINO Model Zoo
+
+```python
+import blobconverter
+
+blob_path = blobconverter.from_zoo(
+    name="face-detection-retail-0004", 
+    shaves=6,
+)
+```
+
+To get all available models, use
+
+```python
+import blobconverter
+
+available_models = blobconverter.zoo_list()
+```
+
+### Caffe
+
+```python
+import blobconverter
+
+blob_path = blobconverter.from_caffe(
+    proto="/path/to/mobilenet-ssd.prototxt",
+    model="/path/to/mobilenet-ssd.caffemodel",
+    data_type="FP16",
+    shaves=5,
+)
+```
+
+
+### TensorFlow
+
+```python
+import blobconverter
+
+blob_path = blobconverter.from_tf(
+    frozen_pb="/path/to/deeplabv3_mnv2_pascal_train_aug.pb",
+    data_type="FP16",
+    shaves=5,
+    optimizer_params=[
+        "--reverse_input_channels",
+        "--input_shape=[1,513,513,3]",
+        "--input=1:mul_1",
+        "--output=ArgMax",
+    ],
+)
+```
+
+### ONNX
+
+```python
+import blobconverter
+
+blob_path = blobconverter.from_onnx(
+    model="/path/to/model.onnx",
+    data_type="FP16",
+    shaves=5,
+)
+```
+
+
+### OpenVINO IR
+
+```python
+import blobconverter
+
+blob_path = blobconverter.from_openvino(
+    xml="/path/to/face-detection-retail-0004.xml",
+    bin="/path/to/face-detection-retail-0004.bin",
+    data_type="FP16",
+    shaves=5,
+)
+```
+
+
+### Raw model config (advanced)
+
+```python
+import blobconverter
+
+blob_path = blobconverter.from_config(
+    name="license-plate-recognition-barrier-0007",
+    path="/path/to/model.yml",
+    data_type="FP16",
+    shaves=5,
+)
+```
+
+### Use [DepthAI Model Zoo](https://github.com/luxonis/depthai-model-zoo) to download files
+
+```python
+import blobconverter
+
+blob_path = blobconverter.from_zoo(name="megadepth", zoo_type="depthai")
+```
+
+### Download using URLs instead of local files
+```python
+import blobconverter
+
+blob_path = blobconverter.from_openvino(
+    xml="https://storage.openvinotoolkit.org/repositories/open_model_zoo/2021.4/models_bin/3/age-gender-recognition-retail-0013/FP16/age-gender-recognition-retail-0013.xml",
+    xml_size=31526,
+    xml_sha256="54d62ce4a3c3d7f1559a22ee9524bac41101103a8dceaabec537181995eda655",
+    bin="https://storage.openvinotoolkit.org/repositories/open_model_zoo/2021.4/models_bin/3/age-gender-recognition-retail-0013/FP16/age-gender-recognition-retail-0013.bin",
+    bin_size=4276038,
+    bin_sha256="3586df5340e9fcd73ba0e2d802631bd9e027179490635c03b273d33d582e2b58"
+)
+```
+
+
+
+
+%package help
+Summary:	Development documents and examples for blobconverter
+Provides:	python3-blobconverter-doc
+%description help
+# BlobConverter CLI
+
+This tool allows you to convert neural network files (from various sources, like Tensorflow, Caffe or OpenVINO) 
+to MyriadX blob file
+
+## Installation
+
+```
+python3 -m pip install blobconverter
+```
+## Usage
+
+```
+usage: blobconverter [-h] [-zn ZOO_NAME] [-zt ZOO_TYPE] [-onnx ONNX_MODEL] [-cp CAFFE_PROTO] [-cm CAFFE_MODEL] [-tf TENSORFLOW_PB] [-ox OPENVINO_XML] [-ob OPENVINO_BIN]
+                     [-rawn RAW_NAME] [-rawc RAW_CONFIG] [-sh {1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16}] [-dt DATA_TYPE] [-o OUTPUT_DIR] [-v VERSION]
+                     [--optimizer-params OPTIMIZER_PARAMS] [--compile-params COMPILE_PARAMS] [--converter-url URL] [--no-cache] [--zoo-list] [--download-ir]
+
+optional arguments:
+  -h, --help            show this help message and exit
+  -zn ZOO_NAME, --zoo-name ZOO_NAME
+                        Name of a model to download from OpenVINO Model Zoo
+  -zt ZOO_TYPE, --zoo-type ZOO_TYPE
+                        Type of the model zoo to use, available: "intel", "depthai"
+  -onnx ONNX_MODEL, --onnx-model ONNX_MODEL
+                        Path to ONNX .onnx file
+  -cp CAFFE_PROTO, --caffe-proto CAFFE_PROTO
+                        Path to Caffe .prototxt file
+  -cm CAFFE_MODEL, --caffe-model CAFFE_MODEL
+                        Path to Caffe .caffemodel file
+  -tf TENSORFLOW_PB, --tensorflow-pb TENSORFLOW_PB
+                        Path to TensorFlow .pb file
+  -ox OPENVINO_XML, --openvino-xml OPENVINO_XML
+                        Path to OpenVINO .xml file
+  -ob OPENVINO_BIN, --openvino-bin OPENVINO_BIN
+                        Path to OpenVINO .bin file
+  -rawn RAW_NAME, --raw-name RAW_NAME
+                        Name of the converted model (advanced)
+  -rawc RAW_CONFIG, --raw-config RAW_CONFIG
+                        Path to raw .yml file with model config (advanced)
+  -sh {1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16}, --shaves {1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16}
+                        Specifies number of SHAVE cores that converted model will use
+  -dt DATA_TYPE, --data-type DATA_TYPE
+                        Specifies model data type
+  -o OUTPUT_DIR, --output-dir OUTPUT_DIR
+                        Directory where the output blob should be saved
+  -v VERSION, --version VERSION
+                        OpenVINO version to use for conversion
+  --optimizer-params OPTIMIZER_PARAMS
+                        Additional params to use when converting a model to OpenVINO IR
+  --compile-params COMPILE_PARAMS
+                        Additional params to use when compiling a model to MyriadX blob
+  --converter-url URL   URL to BlobConverter API endpoint used for conversion
+  --no-cache            Omit .cache directory and force new compilation of the blob
+  --zoo-list            List all models available in OpenVINO Model Zoo
+  --download-ir         Downloads OpenVINO IR files used to compile the blob. Result path points to a result ZIP archive
+```
+
+## Conversion examples (cli)
+
+### OpenVINO Model Zoo
+
+```
+python3 -m blobconverter --zoo-name face-detection-retail-0004 --shaves 6
+```
+
+To list all available models, run
+
+```
+python3 -m blobconverter --zoo-list
+```
+
+### Caffe
+
+```
+python3 -m blobconverter --caffe-proto /path/to/mobilenet-ssd.prototxt --caffe-model /path/to/mobilenet-ssd.caffemodel --shaves 6
+```
+
+
+### TensorFlow
+
+```
+python3 -m blobconverter --tensorflow-pb /path/to/deeplabv3_mnv2_pascal_train_aug.pb --optimizer-params --reverse_input_channels --input_shape=[1,513,513,3] --input=1:mul_1 --output=ArgMax --shaves 6
+```
+
+
+### ONNX
+
+```
+python3 -m blobconverter --onnx-model /path/to/model.onnx --shaves 6
+```
+
+
+### OpenVINO IR
+
+```
+python3 -m blobconverter --openvino-xml /path/to/face-detection-retail-0004.xml --openvino-bin /path/to/face-detection-retail-0004.bin --shaves 7
+```
+
+
+### Raw model config (advanced)
+
+```
+python3 -m blobconverter --raw-config /path/to/model.yml --raw-name license-plate-recognition-barrier-0007 --shaves 6
+```
+
+## Conversion examples (Python)
+
+### OpenVINO Model Zoo
+
+```python
+import blobconverter
+
+blob_path = blobconverter.from_zoo(
+    name="face-detection-retail-0004", 
+    shaves=6,
+)
+```
+
+To get all available models, use
+
+```python
+import blobconverter
+
+available_models = blobconverter.zoo_list()
+```
+
+### Caffe
+
+```python
+import blobconverter
+
+blob_path = blobconverter.from_caffe(
+    proto="/path/to/mobilenet-ssd.prototxt",
+    model="/path/to/mobilenet-ssd.caffemodel",
+    data_type="FP16",
+    shaves=5,
+)
+```
+
+
+### TensorFlow
+
+```python
+import blobconverter
+
+blob_path = blobconverter.from_tf(
+    frozen_pb="/path/to/deeplabv3_mnv2_pascal_train_aug.pb",
+    data_type="FP16",
+    shaves=5,
+    optimizer_params=[
+        "--reverse_input_channels",
+        "--input_shape=[1,513,513,3]",
+        "--input=1:mul_1",
+        "--output=ArgMax",
+    ],
+)
+```
+
+### ONNX
+
+```python
+import blobconverter
+
+blob_path = blobconverter.from_onnx(
+    model="/path/to/model.onnx",
+    data_type="FP16",
+    shaves=5,
+)
+```
+
+
+### OpenVINO IR
+
+```python
+import blobconverter
+
+blob_path = blobconverter.from_openvino(
+    xml="/path/to/face-detection-retail-0004.xml",
+    bin="/path/to/face-detection-retail-0004.bin",
+    data_type="FP16",
+    shaves=5,
+)
+```
+
+
+### Raw model config (advanced)
+
+```python
+import blobconverter
+
+blob_path = blobconverter.from_config(
+    name="license-plate-recognition-barrier-0007",
+    path="/path/to/model.yml",
+    data_type="FP16",
+    shaves=5,
+)
+```
+
+### Use [DepthAI Model Zoo](https://github.com/luxonis/depthai-model-zoo) to download files
+
+```python
+import blobconverter
+
+blob_path = blobconverter.from_zoo(name="megadepth", zoo_type="depthai")
+```
+
+### Download using URLs instead of local files
+```python
+import blobconverter
+
+blob_path = blobconverter.from_openvino(
+    xml="https://storage.openvinotoolkit.org/repositories/open_model_zoo/2021.4/models_bin/3/age-gender-recognition-retail-0013/FP16/age-gender-recognition-retail-0013.xml",
+    xml_size=31526,
+    xml_sha256="54d62ce4a3c3d7f1559a22ee9524bac41101103a8dceaabec537181995eda655",
+    bin="https://storage.openvinotoolkit.org/repositories/open_model_zoo/2021.4/models_bin/3/age-gender-recognition-retail-0013/FP16/age-gender-recognition-retail-0013.bin",
+    bin_size=4276038,
+    bin_sha256="3586df5340e9fcd73ba0e2d802631bd9e027179490635c03b273d33d582e2b58"
+)
+```
+
+
+
+
+%prep
+%autosetup -n blobconverter-1.4.1
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-blobconverter -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.4.1-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..6436c9e
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+2c874a60dbbe3c6906c4f24df0022b89  blobconverter-1.4.1.tar.gz
author	CoprDistGit <infra@openeuler.org>	2023-05-10 04:14:46 +0000
committer	CoprDistGit <infra@openeuler.org>	2023-05-10 04:14:46 +0000
commit	1be7eddf80d0ab189eab914354a6e947f2dc9ab3 (patch)
tree	457866950a1bc8e3072521d9dc264a8ad5a3a5e1
parent	b7172fca47ded771dab0346a86cee1fbd28795d8 (diff)