-
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…
-
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.
…
-
微博内容精选
-
- https://dl.acm.org/doi/abs/10.1145/3411764.3445186
- 2021 Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
モバイルプラットフォームで利用できるアクセシビリティ機能の多くは、アプリケーション（アプリ）がユーザーインターフェ…
e4exp updated
3 years ago
-
https://github.com/OlafenwaMoses/ImageAI
-
Create a test for SSD (Single Shot MultiBox Detector) CPU implementation.
This test will run fully in PyTorch on CPU and will not use TT accelerator device.
This test should be organized in three p…
-
hey guys,
i've been doing some work on object detection and have looked at the config file of **ssd_mobilenet_v2_quantized_300x300_coco**.
my understanding is that the single shot multibox det…
-
**Short Description**
Given that Object Detection is currently on the roadmap I think it would be great to also include an SSD Head component, which we could attach to different backbones for Object …
-
Fill-out only one section depending on whether you are reporting a bug or a new feature.
# Bug
## Expected Behavior
## Actual Behavior
Now I'm trying to launch ssd (single shot multibox dete…
-
@Dustin,
I downloaded a subset of classes and am training in my Jetson Nano. There are about 17000 images across 6 classes. It is taking about 50 minutes per epoch with a batch size of 4. That m…