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Support for segmentation networks has been added. You can now segment images using tensorflow into grayscale images that show a heatmap per class you are looking for. The segment() method will return a list of images of these grayscale heat maps. detect() will then do all the above but internally run find_blobs() on the heat maps to return instead a list of lists, where each sub list is the blobs detected per class. EdgeImpulse will have support for running segmentation networks thus enabling object detection and localization on Cortex-M processors. * PYTF now uses the optimal amount of memory for buffers versus all - buffers are placed in SRAM if they fit producing a massive speed boost. * Custom scaled/offset outputs now work. * Updated to the latest tensorflow library. * You have access to all input/output model parameters. * Person detection is now int8 and blazing fast - 20 FPS on the Arduino Portena. * Added m55 libs (m0plus libs coming soon once EdgeImpulse adds support for them in the tensorflow make file) * Classify/Segment/Detect work on all image types directly (JPG/BAYER/YUV/RGB565/GRAYSCALE/BINARY) |
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| .. | ||
| 00-Arduino | ||
| 01-Basics | ||
| 02-Board-Control | ||
| 03-Drawing | ||
| 04-Image-Filters | ||
| 05-Snapshot | ||
| 06-Video-Recording | ||
| 07-Face-Detection | ||
| 08-Eye-Tracking | ||
| 09-Feature-Detection | ||
| 10-Color-Tracking | ||
| 11-LCD-Shield | ||
| 12-Thermopile-Shield | ||
| 13-BLE-Shield | ||
| 14-WiFi-Shield | ||
| 15-Servo-Shield | ||
| 16-Codes | ||
| 17-Pixy-Emulation | ||
| 18-MAVLink | ||
| 19-Low-Power | ||
| 20-Frame-Differencing | ||
| 21-Sensor-Control | ||
| 22-Optical-Flow | ||
| 23-Motor-Shield | ||
| 24-External-Sensors | ||
| 25-Machine-Learning | ||
| 26-April-Tags | ||
| 27-Lepton | ||
| 28-Global-Shutter | ||
| 29-IMU-Shield | ||
| 30-Distance-Shield | ||
| 31-TV-Shield | ||
| 32-modbus | ||
| 33-Light-Shield | ||
| 34-Remote-Control | ||
| 35-Readout-Control | ||
| 36-Web-Servers | ||
| 37-Event-Cameras | ||
| 99-Tests | ||