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espressif
/esp-dl
3.3.4
Latest
uploaded 6 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
22
19 examples
how_to_deploy_streaming_model
1
test_streaming_model
129.10 KB
cat_detect
A simple image inference example using cat detection with configurable options for model components.
226.87 KB
color_detect
A simple image inference example.
13.26 KB
dog_detect
A simple image inference example for dog detection using a test image with configurable model options.
634.21 KB
hand_detect
A simple image inference example using hand detection. It provides results before and after quantization on ESP32-P4.
366.08 KB
hand_gesture_recognition
A simple image inference example that recognizes 10 hand gestures plus a 'no_hand' category using the HaGRID dataset.
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 the esp-who repository.
43.03 KB
human_face_recognition
A simple image inference example for human face recognition using ESP-IDF with configurable model options.
103.18 KB
mobilenetv2_cls
A simple image inference example for IMAGENET classification using ESP-IDF.
39.50 KB
model_in_flash_partition
10.74 KB
model_in_flash_rodata
10.88 KB
model_in_sdcard
10.71 KB
motion_detect
52.61 KB
pedestrian_detect
A simple image inference example for pedestrian detection, part of the esp-who project.
97.44 KB
speaker_verification
A simple audio inference example for speaker verification using three audio samples from different speakers.
682.25 KB
yolo11_detect
A simple image inference example using Yolo11 for object detection, demonstrating results before and after quantization.
670.85 KB
yolo11_pose
A simple image inference example using Yolo11 Pose with ESP32-P4 and default settings.
267.49 KB
yolo26_detect
This is a complete end-to-end example for running quantized YOLOv26n inference on Espressif SoCs.
3.21 MB