Fix issue with video window

README.md

@@ -4,7 +4,7 @@
 
 # Abraia Python SDK image analysis toolbox
 
-The Abraia Python SDK provides and easy and practical way to develop and deploy Machine Learning image applications on the edge. You can easily annotate and train your custom deep learning model with [DeepLab](https://abraia.me/deeplab), and deploy the model with this Python SDK.
+The Abraia Python SDK provides and easy and practical way to develop and deploy Machine Learning image applications on the edge. You can easily annotate and train your custom deep learning model with [DeepLab](https://abraia.me/deeplab/), and deploy the model with this Python SDK.
 
 ![people walking](https://github.com/abraia/abraia-multiple/raw/master/images/people-walking.gif)
 
@@ -39,9 +39,7 @@ You can easily train your custom models from [DeepLab](https://abraia.me/deeplab
 ```python
 from abraia import detect
 
-dataset = 'camera'
-model_name = 'yolov8n'
-model_uri = f"https://api.abraia.me/files/multiple/{dataset}/{model_name}.onnx"
+model_uri = f"https://api.abraia.me/files/multiple/camera/yolov8n.onnx"
 
 model = detect.load_model(model_uri)
 
@@ -61,15 +59,13 @@ from PIL import Image
 from abraia import detect
 
 
-dataset = 'camera'
-model_name = 'yolov8n'
-model_uri = f"https://api.abraia.me/files/multiple/{dataset}/{model_name}.onnx"
+model_uri = f"https://api.abraia.me/files/multiple/camera/yolov8n.onnx"
 
 model = detect.load_model(model_uri)
 
 video = detect.Video('people-walking.mp4')
 for frame in video:
-    img = Image.fromarray(frame)
+    im = Image.fromarray(frame)
     results = model.run(im, confidence=0.5, iou_threshold=0.5)
     im = detect.render_results(im, results)
     frame = np.array(im)
@@ -213,7 +209,7 @@ multiple.save_image('test.hdr', img, metadata=meta)
 
 ### Upload and load HSI data
 
-To start with, we may [upload some data](https://abraia.me/console/gallery) directly using the graphical interface, or using the multiple api:
+To start with, we may [upload some data](https://abraia.me/deeplab/) directly using the graphical interface, or using the multiple api:
 
 ```python
 multiple.upload_file('PaviaU.mat')

abraia/detect.py

@@ -9,7 +9,7 @@
 
 from PIL import Image, ImageDraw, ImageFont
 
-from video import Video
+from .video import Video
 
 
 tempdir = tempfile.gettempdir()

abraia/video.py

@@ -13,7 +13,7 @@ def __init__(self, src, output=None):
         print(self.width, self.height, self.fps)
         if output:
             fourcc = cv2.VideoWriter_fourcc(*'mp4v')
-            self.out = cv2.VideoWriter('output.mp4', fourcc, self.fps, (self.width, self.height))
+            self.out = cv2.VideoWriter(output, fourcc, self.fps, (self.width, self.height))
 
     def __iter__(self):
         while self.cap.isOpened():
@@ -26,6 +26,7 @@ def __iter__(self):
             self.out.release()
         if self.win_name:
             cv2.destroyWindow(self.win_name)
+            cv2.waitKey(1)
 
     def write(self, frame):
         self.out.write(cv2.cvtColor(frame, cv2.COLOR_RGB2BGR))

scripts/abraia

@@ -42,7 +42,7 @@ def input_files(src):
 
 
 @click.group('abraia')
-@click.version_option('0.15.1')
+@click.version_option('0.15.2')
 def cli():
     """Abraia CLI tool"""
     pass
@@ -64,7 +64,7 @@ def configure():
 @cli.command()
 def info():
     """Show user account information"""
-    click.echo('abraia, version 0.15.1\n')
+    click.echo('abraia, version 0.15.2\n')
     click.echo('Go to [' + click.style('https://abraia.me/console/', fg='green') + '] to see your account information\n')
 
 

setup.py

@@ -12,7 +12,7 @@
 
 setup(
     name='abraia',
-    version='0.15.1',
+    version='0.15.2',
     description='Abraia Python SDK',
     long_description=long_description,
     long_description_content_type='text/markdown',