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espressif
/esp-dl
3.3.7
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uploaded 1 day ago
esp-dl is a lightweight and efficient neural network inference framework designed specifically for ESP series chips.
Readme
Dependencies
3
Dependents
13
Examples
19
Versions
25
19 examples
how_to_deploy_streaming_model
1
test_streaming_model
129.10 KB
cat_detect
A simple image inference example using a pre-defined image to demonstrate detection results on ESP32-P4.
226.87 KB
color_detect
A simple image inference example.
13.26 KB
dog_detect
A simple image inference example using dog.jpg for testing, demonstrating detection results on the ESP32-P4.
634.21 KB
hand_detect
A simple image inference example that detects hand positions using specified models on ESP32 hardware.
367.67 KB
hand_gesture_recognition
A simple image inference example for hand gesture recognition supporting 10 gestures plus a 'no_hand' category.
751.48 KB
how_to_run_model
12.84 KB
human_face_detect
A simple image inference example for human face detection using ESP-IDF. See full example in esp-who.
43.03 KB
human_face_recognition
A simple image inference example for human face recognition using ESP32 devices.
103.18 KB
mobilenetv2_cls
A simple image inference example classifying a built-in cat image and benchmarking average inference latency.
40.58 KB
model_in_flash_partition
10.74 KB
model_in_flash_rodata
10.88 KB
model_in_sdcard
10.71 KB
motion_detect
52.64 KB
pedestrian_detect
A simple image inference example for pedestrian detection, with configurable options for different models.
97.44 KB
speaker_verification
A simple audio inference example that verifies speaker identity using cosine similarity score between audio samples.
683.06 KB
yolo11_detect
A simple image inference example using Yolo11 for object detection with configurable options for different models.
399.39 KB
yolo11_pose
A simple image inference example using Yolo11 pose detection on ESP32 devices.
267.49 KB
yolo26_detect
This example demonstrates running quantized YOLOv26n inference on Espressif SoCs with optimizations and flexible model loading.
3.21 MB