build: rename folder demo to examples and create jupyter notebooks expand examples functions this package

Author: sc0v0ne

examples/env_examples.sh

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+#! /bin/bash
+python3 -m venv venv
+source venv/bin/activate
+pip install -r requirements_example.txt

examples/multiple_objects.py

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+import json
+
+import bbox_visualizer as bbv
+import cv2
+
+img = cv2.imread('../images/source_multiple.jpg')
+annotation = json.load(open('../images/source_multiple.json'))
+img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+
+labels = []
+bboxes = []
+for shape in annotation['shapes']:
+    labels.append(shape['label'])
+    mins = shape['points'][0]
+    maxs = shape['points'][1]
+    bboxes.append(mins + maxs)
+
+img_with_boxes = bbv.draw_multiple_rectangles(img, bboxes)
+img_with_boxes_2 = img_with_boxes.copy()
+
+img_with_boxes = bbv.add_multiple_labels(img_with_boxes, labels, bboxes)
+img_with_T_labels = bbv.add_multiple_T_labels(img_with_boxes_2, labels, bboxes)
+
+img_with_flags = bbv.draw_multiple_flags_with_labels(img, labels, bboxes)

examples/multiple_objects_example.ipynb

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+opencv-python>=4.1.0.25
+notebook==7.0.4
+bbox-visualizer==0.1.0
+matplotlib==3.8.0

examples/requirements_example.txt

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+
+# Initialize example bbox-visualizer
+
+Your machine use system operation Ubuntu/Pop_OS!:
+
+Execute next steps:
+
+```bash
+
+cd examples
+
+```
+
+Run script to preparate environmet:
+
+```bash
+
+bash env_examples.sh
+
+```

examples/simple_example.md

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+import json
+
+import bbox_visualizer as bbv
+import cv2
+
+img = cv2.imread('../images/source_single.jpg')
+annotation = json.load(open('../images/source_single.json'))
+img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+
+points = annotation['shapes'][0]['points']
+label = annotation['shapes'][0]['label']
+(xmin, ymin), (xmax, ymax) = points
+bbox = [xmin, ymin, xmax, ymax]
+
+img_with_box = bbv.draw_rectangle(img, bbox)
+img_with_box_2 = img_with_box.copy()
+
+img_label = bbv.add_label(img_with_box, label, bbox)
+img_T_label = bbv.add_T_label(img_with_box_2, label, bbox)
+
+img_flag = bbv.draw_flag_with_label(img, label, bbox)