opencv version upd (#23)

* Update TODO.md

* inference engine version update

* TODO upd

* inference engine version number changed

* package version number changed

* opencv upd

* upd rateme dependece

Author: banderlog

README.md

@@ -92,6 +92,7 @@ sudo snap install cmake --classic
 sudo apt-get update
 # nasm for ffmpeg
 # libusb-1.0-0-dev for MYRIAD plugin
+sudo apt update
 sudo apt install build-essential git pkg-config python3-dev nasm python3 virtualenv libusb-1.0-0-dev chrpath shellcheck
 
 # for ngraph

create_wheel/setup.py

@@ -15,7 +15,7 @@ def __len__(self):
 
 setuptools.setup(
     name='opencv-python-inference-engine',
-    version='2021.09.10',
+    version='2021.10.10',
     url="https://github.com/banderlog/opencv-python-inference-engine",
     maintainer="Kabakov Borys",
     license='MIT, Apache 2.0',

download_all_stuff.sh

@@ -24,7 +24,8 @@ fi
 
 green "RESET GIT SUBMODULES"
 # git checkout dev
-# use `git fetch --tags && git checkout tags/<tag>` for update
+# for update use `git submodule update --init --recursive  --jobs=4`
+#   cd submodule dir and `git fetch --tags && git checkout tags/<tag>`
 git submodule update --init --recursive --depth=1 --jobs=4
 # restore changes command will differ between GIT versions (e.g., `restore`)
 git submodule foreach --recursive git checkout .

opencv

@@ -48,7 +48,7 @@ fi
 green "GET MODELS"
 
 if [ ! -d "rateme" ]; then
-    ./venv_t/bin/pip3 install --python-version 3 rateme -U --no-deps -t ./
+    ./venv_t/bin/pip3 install "https://github.com/banderlog/rateme/releases/download/v0.1.1/rateme-0.1.1.tar.gz"
 fi
 
 # urls, filenames and checksums are from:

tests/prepare_and_run_tests.sh

@@ -12,6 +12,7 @@ def test_dnn_module(self):
         img = cv2.imread('dislike.jpg')
         answer = model.predict(img)
         self.assertEqual(answer, 'dislike')
+        print('rateme: passed')
 
     def test_inference_engine(self):
         img = cv2.imread('helloworld.png')
@@ -22,11 +23,13 @@ def test_inference_engine(self):
         recognizer12 = TextRecognizer('./text-recognition-0012.xml')
         answer = recognizer12.do_ocr(img, bboxes)
         self.assertEqual(answer, ['hello', 'world'])
+        print('text detection and recognition: passed')
 
     def test_ffmpeg(self):
         cap = cv2.VideoCapture('short_video.mp4')
         answer, img = cap.read()
         self.assertTrue(answer)
+        print('video opening: passed')
 
 
 if __name__ == '__main__':