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Hi Frederick & Co,
Thank you for sharing your awesome work with us! I was wondering if you've already put some thought in how your approach can be extended to analyzing the quality of training data…
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Similar to benchmarks created for image classification, we would like to create a benchmark for video datasets.
A few tasks for tackling video datasets:
1. Identify ML training related to video …
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个人主页,个人学习生涯!
学习流程:
> 第一遍, 通读全文,了解内容
>
> 第二遍,针对性阅读,并记录心得
>
> 第三遍,理论结合实践
一点一点搬运到博客上
## ref
- [Deep learning papers reading roadmap](https://github.com/floodsung/Deep-Learning…
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**Tim**
Link do repozitorijuma: https://github.com/MarijaGolubovic/vahicle_recognition
Marija Golubović E2 11/2023
Mehaela Osmajić E2 13/2023
**Definicija problema**
Saobraćajne gužve predsta…
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检测任务:回归+分类
- 传统的目标检测方法:一般使用滑动窗口的框架,主要包括三个步骤:
1. 利用不同尺寸的滑动窗口框住图中的某一部分作为候选区域;(DPM)
2. 提取候选区域相关的视觉特征。比如人脸检测常用的Harr特征;行人检测和普通目标检测常用的HOG特征等;
3. 利用分类器进行识别,比如常用的SVM模型。
- 基于深度学习的目标检测器:R-CNN -> OverFeat…
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I am using M1 Pro MacBook and I am trying to develop a stablediffusion using mps.
I changed the part about cuda to mps and changed it from ddim.py to float32 because mps did not support float64.
…
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Implement SSD object detection using the Cityscapes dataset.
- Familiarize with and preprocess the Cityscapes dataset for object detection.
- Implement and train the SSD (Single Shot MultiBox Detect…
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Hello, first of all thank you for your work.
**Context**
I am currently working on a machine learning model using the [SSD](https://github.com/balancap/SSD-Tensorflow) architecture (*Single Shot M…
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I think combining motion detection with classification like [yolo](https://pjreddie.com/darknet/yolo/) and using AI-sticks as workhorse could fit very nicely in to the core purpose of motioneyeos.
…