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6 Commits

Author SHA1 Message Date
Kwabena W Agyeman
667ff20acf
Merge 5482495ce3 into 7cbdb927da 2025-10-21 22:01:54 -07:00
Ibrahim Abdelkader
7cbdb927da
Merge pull request #2873 from kwagyeman/kwabena/add_yolo_lc
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scripts/examples: Add YOLO LC person tracking example.
2025-10-19 12:09:14 +03:00
Ibrahim Abdelkader
5ae4a02d41
Merge pull request #2889 from openmv/dependabot/github_actions/softprops/action-gh-release-2.4.1
build(deps): bump softprops/action-gh-release from 2.3.3 to 2.4.1
2025-10-19 12:05:39 +03:00
Kwabena W. Agyeman
3e22e0ea03 scripts/examples: Add YOLO LC person tracking example. 2025-10-18 21:29:43 -07:00
Kwabena W. Agyeman
30f499ea2d boards: Add YOLO LC model. 2025-10-18 21:27:14 -07:00
dependabot[bot]
cdb0d91d74
build(deps): bump softprops/action-gh-release from 2.3.3 to 2.4.1
Bumps [softprops/action-gh-release](https://github.com/softprops/action-gh-release) from 2.3.3 to 2.4.1.
- [Release notes](https://github.com/softprops/action-gh-release/releases)
- [Changelog](https://github.com/softprops/action-gh-release/blob/master/CHANGELOG.md)
- [Commits](6cbd405e2c...6da8fa9354)

---
updated-dependencies:
- dependency-name: softprops/action-gh-release
  dependency-version: 2.4.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
2025-10-13 15:35:54 +00:00
12 changed files with 95 additions and 2 deletions

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@ -223,7 +223,7 @@ jobs:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
- name: '🔥 Create stable release'
uses: softprops/action-gh-release@6cbd405e2c4e67a21c47fa9e383d020e4e28b836
uses: softprops/action-gh-release@6da8fa9354ddfdc4aeace5fc48d7f679b5214090
with:
draft: true
files: firmware_*.zip
@ -275,7 +275,7 @@ jobs:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
- name: '🔥 Create development release'
uses: softprops/action-gh-release@6cbd405e2c4e67a21c47fa9e383d020e4e28b836
uses: softprops/action-gh-release@6da8fa9354ddfdc4aeace5fc48d7f679b5214090
with:
draft: false
name: Development Release

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@ -38,6 +38,12 @@
"alignment": 16,
"optimize": "Performance"
},
{
"type": "tflite",
"path": "{TOP}/lib/models/yolo_lc_192.tflite",
"alignment": 16,
"optimize": "Performance"
},
{
"type": "tflite",
"path": "{TOP}/lib/models/blazeface_front_128.tflite",

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@ -32,6 +32,12 @@
"alignment": 16,
"optimize": "Performance"
},
{
"type": "tflite",
"path": "{TOP}/lib/models/yolo_lc_192.tflite",
"alignment": 16,
"optimize": "Performance"
},
{
"type": "tflite",
"path": "{TOP}/lib/models/blazeface_front_128.tflite",

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@ -38,6 +38,12 @@
"alignment": 16,
"optimize": "Performance"
},
{
"type": "tflite",
"path": "{TOP}/lib/models/yolo_lc_192.tflite",
"alignment": 16,
"optimize": "Performance"
},
{
"type": "tflite",
"path": "{TOP}/lib/models/blazeface_front_128.tflite",

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@ -38,6 +38,12 @@
"alignment": 16,
"optimize": "Performance"
},
{
"type": "tflite",
"path": "{TOP}/lib/models/yolo_lc_192.tflite",
"alignment": 16,
"optimize": "Performance"
},
{
"type": "tflite",
"path": "{TOP}/lib/models/blazeface_front_128.tflite",

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@ -38,6 +38,12 @@
"alignment": 16,
"optimize": "Performance"
},
{
"type": "tflite",
"path": "{TOP}/lib/models/yolo_lc_192.tflite",
"alignment": 16,
"optimize": "Performance"
},
{
"type": "tflite",
"path": "{TOP}/lib/models/blazeface_front_128.tflite",

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@ -20,6 +20,12 @@
"alignment": 16,
"optimize": "Performance"
},
{
"type": "tflite",
"path": "{TOP}/lib/models/yolo_lc_192.tflite",
"alignment": 16,
"optimize": "Performance"
},
{
"type": "tflite",
"path": "{TOP}/lib/models/yolo_v2_224_small.tflite",

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@ -8,6 +8,12 @@
"alignment": 32,
"profile": "default"
},
{
"type": "tflite",
"path": "{TOP}/lib/models/yolo_lc_192.tflite",
"alignment": 32,
"profile": "default"
},
{
"type": "tflite",
"path": "{TOP}/lib/models/yolo_v2_224_small.tflite",

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@ -38,6 +38,12 @@
"alignment": 16,
"optimize": "Performance"
},
{
"type": "tflite",
"path": "{TOP}/lib/models/yolo_lc_192.tflite",
"alignment": 16,
"optimize": "Performance"
},
{
"type": "tflite",
"path": "{TOP}/lib/models/blazeface_front_128.tflite",

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@ -0,0 +1 @@
person

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@ -0,0 +1,44 @@
# This work is licensed under the MIT license.
# Copyright (c) 2013-2025 OpenMV LLC. All rights reserved.
# https://github.com/openmv/openmv/blob/master/LICENSE
#
# TensorFlow Lite YOLO LC Person Detector Example
#
# YOLO LC is a variant of YOLOV2 that is fast enough to run on OpenMV Cams without NPUs.
import csi
import time
import ml
from ml.postprocessing.darknet import YoloLC
# Initialize the sensor.
csi0 = csi.CSI()
csi0.reset()
csi0.pixformat(csi.RGB565)
csi0.framesize(csi.VGA)
csi0.window((400, 400))
# Load built-in person detection model
model = ml.Model("/rom/yolo_lc_192.tflite", postprocess=YoloLC(threshold=0.4))
print(model)
# Visualization parameters.
n = len(model.labels)
model_class_colors = [(int(255 * i // n), int(255 * (n - i - 1) // n), 255) for i in range(n)]
clock = time.clock()
while True:
clock.tick()
img = csi0.snapshot()
# boxes is a list of list per class of ((x, y, w, h), score) tuples
boxes = model.predict([img])
# Draw bounding boxes around the detected objects
for i, class_detections in enumerate(boxes):
rects = [r for r, score in class_detections]
labels = [model.labels[i] for j in range(len(rects))]
colors = [model_class_colors[i] for j in range(len(rects))]
ml.utils.draw_predictions(img, rects, labels, colors, format=None)
print(clock.fps(), "fps")