There are two phases to getting the microsevenX (computer vision and ML) software done in the official release version. Phase one – generate an ML (machine learning) model 1 Machine learning, sampling the object. Give the object annotation 2. Run the machine learning (yolov8), and the machine will generate the model. It requires a high-profile […]
the microsevenx v1.0.1 sz prototype completed Read More »
Two original clips were shared from RCSI. Click the link below to see the clip. Dark cycle Sz: Sent to microsevenX on 06-21-2024 Dark cycle, file size: 1.06 GB, video hours: 7.01.56 hours, video features: 1280x720p and ten fps—scanning time: 14 hours. The scanning per frame time is 49 ms per frame. The total is
run & scan dark cycle sz and light cycle sz using pre-trained micenj dataset Read More »
1. Open the application, select the report option, and click on the button. 2. Click on the “Query” button to find the seizure. 3. Click on the result list. Then click the “Show” button to retrieve the seizure image and clip. The whole process takes seconds.
run a seizure report and Seizure found in seconds Read More »
The raw clip is sent to the Cuda computer to analyze mouse seizure points. The video can be live streaming to the machine via RTSP. The microsevenX provides a real-time way to find the seizure from the timeline.
The microsevenX debug version 1.0.0 machine learning is released today. It is based on the train10.pt. The date on the result image is 5/30/2024 in the train10 folder. Labeling processes are included in the following archives. Shown below are two images from the archives.
microsevenX debug version 1.0.0 released Read More »
Project: Detecting Seizure RCSI in Ireland, microseven.org Hardware: The Microseven camera features 1080p and 30 frames per second. It has a 4K lens of 2.8 mm and a dual-board Microseven chipset board. The software includes RTSP and RTMP H.265/264. It is powered by POE (power over ethernet) or a 12V DC 1A power supply. The
Computer vision machine learning project Read More »