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Keras Object Detection API with YOLK project 🍳

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https://github.com/tensorflow/datasets In keras-retinanet, We have to download a pulbic dataset(such as voc, coco) to local repo our self. But tfds seems not to download our self. How does tfds works?

modeling

# Load SSD model * Used model architecture: [SSD: Single-Shot Multibox Detector](https://arxiv.org/abs/1512.02325) * Github repo: [ssd_keras](https://github.com/pierluigiferrari/ssd_keras) by @pierluigiferrari ## To-do list 1. Run the pre-trained model with sample images 2....

modeling

- [ ] Explanation of the dataset - [ ] Download dataset - [ ] Generate Generator - [ ] Process label

preprocessing
dataset

Packaging YOLK projects checklist - [x] Initial setup, dockerfile (Hyunkyu Kim) - [x] Upload dockerfile to docker hub (Hyunkyu Kim) + usage ``` >> docker pull donotlose89/yolk # pull image...

preprocessing

### Make box thickness relative to image size * Make bounding box thickness relative to image size(similar to font size) * work branch : `utils-visualization_thickness`

visualization

Visualization Code in Utils Including - Draw bounding box on image - Visualize boxes labels on image

visualization

# Patching CVE-2007-4559 Hi, we are security researchers from the Advanced Research Center at [Trellix](https://www.trellix.com). We have began a campaign to patch a widespread bug named CVE-2007-4559. CVE-2007-4559 is a...

SSD tested with Tensorflow 2.10, deprecation warnings resolved also