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When I run "demo/webcam_demo_spatiotemporal_det.py" with USB cam or RTSP web cam , the program is stuck after running for a period of time.
I think this is caused by the inference speed or the disp…
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The Learning/Prediction Pipeline
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![360° turn](https://childgrowthmonitor.org/img/pre-test_5.gif)
Objective:
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3 million children are dying of malnutriti…
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Based on preliminary experience with ML, we've had the insight that a model trained on a specific area (both spatial and temporal) may not be valid in other places and times. Determining exactly where…
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Hi,
I'm opening this issue as a way to move forward with discussing what kind of statistical test should be available in nilearn to test the significance of a decoding result. Maybe this might just…
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Post a link for a "possibility" reading of your own on the topic of Network & Table Learning [for week 6], accompanied by a 300-400 word reflection that: 1) briefly summarizes the article (e.g., as we…
lkcao updated
2 years ago
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Great work!
I wonder how you connect bezier curve with velocity. "t" value of bezier curve seems not have meaningful physical explanation.
So you use "t" as time may violate the definition of beizer…
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![头图2 ](https://user-images.githubusercontent.com/53006892/109469329-daddde80-7aa8-11eb-86e1-0102bc216efb.jpg)
在自动驾驶领域,基于激光雷达 (LiDAR) 的3D物体检测和运动行为预测是一种普遍的方案。目前绝大部分关于激光雷达的物体检测算法都是基于单帧的。激光雷达的多帧时序数据,提供了…
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## About
At [^1][^2], we shared a few notes about time series anomaly detection, and forecasting/prediction. Other than using traditional statistics-based time series forecasting methods like [Holt…
amotl updated
6 months ago
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Hi,
I started trying to use this and the first thing I did was compare the error between the performer_pytorch.SelfAttention layer and torch.nn.MultiheadAttention for different sizes of the random …
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## Background
There is a rising need and opportunity for ocean management and planning that is ecologically based, including in the broadest sense of the fully integrated sociocultural and biophysic…