espressif/esp-dl

3.3.2

Latest
uploaded 13 hours ago
esp-dl is a lightweight and efficient neural network inference framework designed specifically for ESP series chips.
Readme Dependencies 4 Dependents 12 Examples 19 Versions 20

19 examples

  • how_to_deploy_streaming_model 1
  • cat_detect
    A simple image inference example using ``cat.jpg`` for testing, demonstrating detection results before and after int8 quantization.
    226.36 KB
  • color_detect
    A simple image inference example for color detection.
    13.23 KB
  • dog_detect
    A simple image inference example using a dog image for detection with configurable options for model components.
    633.70 KB
  • hand_detect
    A simple image inference example using hand detection, with results shown before and after quantization.
    365.57 KB
  • hand_gesture_recognition
    A simple image inference example for recognizing 10 hand gestures plus a 'no_hand' category using the HaGRID dataset.
    750.97 KB
  • how_to_run_model
    12.81 KB
  • human_face_detect
    A simple image inference example for human face detection, with configurable options for models.
    42.52 KB
  • human_face_recognition
    A simple image inference example for human face recognition using ESP-IDF, integrating face detection and feature extraction models.
    102.67 KB
  • mobilenetv2_cls
    This is a simple image inference example for IMAGENET classification using ESP32 chips.
    38.99 KB
  • model_in_flash_partition
    10.71 KB
  • model_in_flash_rodata
    10.86 KB
  • model_in_sdcard
    10.68 KB
  • motion_detect
    52.15 KB
  • pedestrian_detect
    A simple image inference example for pedestrian detection using ESP-IDF. It includes configurable model options.
    96.93 KB
  • speaker_verification
    A simple audio inference example for speaker verification with predefined audio samples and configurable options.
    681.76 KB
  • yolo11_detect
    A simple image inference example using Yolo11 to detect objects in images, showcasing results before and after quantization.
    670.34 KB
  • yolo11_pose
    A simple image inference example using Yolo11 for pose detection on ESP32-P4 with specific configurations.
    266.98 KB
  • yolo26_detect
    This example runs quantized YOLOv26n inference on Espressif SoCs, supporting any YOLOv26 model configuration.
    3.21 MB