python-examples

We publish sample programs here that connect to an i-PRO camera and display images on a PC. These are intended for beginners.
i-PRO カメラと接続して映像表示するＰＣプログラムのサンプルです。初心者を対象としています。

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Connect to an i-PRO camera with RTSP(H.264/H.265)

Folder： connect_with_rtsp
関連記事： RTSP で接続する

Filename	Abstract
connect_with_rtsp_1.py	Let's try first.
connect_with_rtsp_2.py	Let's improve the three issues.
connect_with_rtsp_3_1.py	Let's add face detection using OpenCV.
connect_with_rtsp_3_2.py	Improve performace by a face detection process.
connect_with_rtsp_4.py	Save the received image as a JPEG file.
connect_with_rtsp_5.py	Add reconnection when video is disconnected.
connect_with_rtsp_6_1.py	Display the video with GUI using tkinter.
connect_with_rtsp_6_2.py	Improve performance by a video receiving process.
connect_with_rtsp_6_3.py	Add a menu and a button to make it look like a GUI app.

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Connect to an i-PRO camera with JPEG

Folder： connect_with_jpeg
関連記事： JPEG で接続する

Filename	Abstract
connect_with_jpeg_1.py	Let's try first.
connect_with_jpeg_2.py	Let's improve the three issues.
connect_with_jpeg_3.py	Let's add face detection using OpenCV.
connect_with_jpeg_4.py	Save the received image as a JPEG file.
connect_with_jpeg_5.py	Add reconnection when video is disconnected.
connect_with_jpeg_6.py	Display the video with GUI using tkinter.

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Connect to an i-PRO camera with MJPEG

Folder： connect_with_mjpeg
関連記事： MJPEG で接続する

Filename	Abstract
connect_with_mjpeg_1_1.py	Let's try first. (Method 1)
connect_with_mjpeg_1_2.py	Let's try first. (Method 2)
connect_with_mjpeg_2.py	Let's improve the three issues.
connect_with_mjpeg_3_1.py	Let's add face detection using OpenCV.
connect_with_mjpeg_3_2.py	Improve performace by a face detection process.
connect_with_mjpeg_4.py	Save the received image as a JPEG file.
connect_with_mjpeg_5.py	Add reconnection when video is disconnected.
connect_with_mjpeg_6.py	Display the video with GUI using tkinter.

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Connect to wv-xae200w

Folder： connect_to_wv-xae200w
関連記事： 機能拡張ソフトウェア(WV-XAE200WUX)と接続する

Filename	Abstract
parse_jpeg.py	Extracts the recognition result of WV-XAE200WUX from the JPEG file.
draw_aivmd_rect.py	Draws the recognition result of WV-XAE200WUX on the received image.
show_live_camera.py	Draws the recognition result of WV-XAE200WUX on the live video.

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Image classification

Folder： image_classification_vgg
関連記事： 画像分類 - VGG16

Filename	Abstract
preparation.py	Preparation for image classification.
classification_vgg.py	Image classification.
classification_main.py	How to write a program simply using classification_vgg.py
classification_with_camera_1.py	Classifies live images.
classification_with_camera_2.py	Classifies live images with multitasking.
classification_gui.py	Create a GUI application using tkinter.

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MobileNet-SSD

Folder： mobilenet-ssd
関連記事：

• 物体検知 － MobileNet-SSD (推論編)
• 物体検知 － MobileNet-SSD (学習編)

Filename	Abstract
run_mobilenetv3-ssdlite_jpeg_demo.py	Detect objects in JPEG images using the "MobileNetV3 SSD-Lite"
run_mobilenetv3-ssdlite_live_pc-cam_demo.py	Detect objects in the pc camera live video using the "MobileNetV3 SSD-Lite".
run_mobilenetv3-ssdlite_live_i-pro-cam_demo.py	Detect objects in the i-pro camera live video using the "MobileNetV3 SSD-Lite".
create_imagesets_files.py	Create "trainval.txt" and "test.txt" from JPEG files and annotation files .

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ONVIF-Meta

Folder： receive_onvifmeta_event
関連記事： ONVIFメタ情報受信 － ONVIF Meta

Filename	Abstract
ws_metarcv.py	Receive ONVIF Meta Event Stream.