Update experiments

Author: daniilpastukhov

gen2/gen2-age-gender/README.md renamed to gen2-age-gender/README.md

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+from depthai_sdk import OakCamera, TwoStagePacket, AspectRatioResizeMode, Visualizer, TextPosition, BboxStyle
+import numpy as np
+import cv2
+
+with OakCamera() as oak:
+    color = oak.create_camera('color')
+
+    det = oak.create_nn('face-detection-retail-0004', color)
+    # AspectRatioResizeMode has to be CROP for 2-stage pipelines at the moment
+    det.config_nn(aspectRatioResizeMode=AspectRatioResizeMode.CROP)
+
+    age_gender = oak.create_nn('age-gender-recognition-retail-0013', input=det)
+    # age_gender.config_multistage_nn(show_cropped_frames=True) # For debugging
+
+    def cb(packet: TwoStagePacket, visualizer: Visualizer):
+        for det, rec in zip(packet.detections, packet.nnData):
+            age = int(float(np.squeeze(np.array(rec.getLayerFp16('age_conv3')))) * 100)
+            gender = np.squeeze(np.array(rec.getLayerFp16('prob')))
+            gender_str = "woman" if gender[0] > gender[1] else "man"
+
+            visualizer.add_text(f'{gender_str}\nage: {age}',
+                                bbox=(*det.top_left, *det.bottom_right),
+                                position=TextPosition.BOTTOM_RIGHT)
+
+        frame = visualizer.draw(packet.frame)
+        cv2.imshow('Age-gender estimation', frame)
+
+
+    # Visualize detections on the frame. Don't show the frame but send the packet
+    # to the callback function (where it will be displayed)
+    oak.visualize(age_gender, callback=cb).detections(fill_transparency=0.1)
+    oak.visualize(det.out.passthrough)
+    oak.visualize(age_gender.out.twostage_crops, scale=3.0)
+
+
+    # oak.show_graph() # Show pipeline graph, no need for now
+    oak.start(blocking=True)  # This call will block until the app is stopped (by pressing 'Q' button)

gen2/gen2-age-gender/README.zh-CN.md renamed to gen2-age-gender/README.zh-CN.md

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+depthai-sdk==1.9.1