espressif/esp-dl

3.2.2

uploaded 4 months ago
esp-dl is a lightweight and efficient neural network inference framework designed specifically for ESP series chips.
Readme Dependencies 4 Dependents 12 Examples 10 Versions 22

10 examples

  • how_to_deploy_streaming_model 1
  • how_to_run_model
    12.81 KB
  • human_face_detect
    A simple image inference example for human face detection, part of the esp-who project. It allows for configurable options in the model and provides…
    42.52 KB
  • human_face_recognition
    A simple image inference example for human face recognition, following a quick start guide to flash the example and observe the output. It includes…
    102.68 KB
  • mobilenetv2_cls
    A simple image inference example using IMAGENET classification. Follow the quick start to flash the example and view output categories and scores in…
    39.01 KB
  • model_in_flash_partition
    10.71 KB
  • model_in_flash_rodata
    10.86 KB
  • model_in_sdcard
    10.69 KB
  • pedestrian_detect
    A simple image inference example for pedestrian detection utilizing ESP-IDF. The example demonstrates model inference output, where detected…
    96.95 KB
  • yolo11_detect
    Yolo11 Detect Example is a straightforward image inference application that uses `bus.jpg` for testing. It showcases detection results both before…
    670.36 KB