uploaded 1 month ago
esp-dl is a lightweight and efficient neural network inference framework designed specifically for ESP series chips.
19 examples
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how_to_deploy_streaming_model
1
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cat_detect
A simple image inference example using cat detection. It demonstrates detection results before and after int8 quantization.
226.87 KB
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dog_detect
A simple image inference example for detecting dogs using a specified image and configurable options.
634.21 KB
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hand_detect
A simple image inference example for hand detection using the ESP32-P4 with quantization results provided.
366.08 KB
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hand_gesture_recognition
A simple image inference example for recognizing 10 hand gestures plus a 'no_hand' category using the ESP-IDF framework.
751.48 KB
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human_face_detect
A simple image inference example for human face detection using ESP-IDF, with configurable model options.
43.03 KB
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human_face_recognition
A simple image inference example for human face recognition using models for detection and feature extraction.
103.18 KB
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mobilenetv2_cls
A simple image inference example for IMAGENET classification with configurable model options.
39.50 KB
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pedestrian_detect
A simple image inference example for pedestrian detection, usable with ESP-IDF v5.3 and v5.4.
97.44 KB
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speaker_verification
A simple audio inference example with three audio samples to verify speaker identity based on cosine similarity.
682.25 KB
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yolo11_detect
A simple image inference example using Yolo11 for object detection, demonstrating results before and after int8 quantization.
670.85 KB
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yolo11_pose
A simple image inference example using Yolo11 for pose estimation on ESP32-P4, tested with 'bus.jpg'.
267.49 KB
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yolo26_detect
This example enables running quantized YOLOv26n inference on Espressif SoCs with flexible model loading.
3.21 MB