# Eddie's Learning Record 14

**Published by:** [Eddie's Learning Records](https://paragraph.com/@eddiehe/)
**Published on:** 2022-09-08
**URL:** https://paragraph.com/@eddiehe/eddies-learning-record-14

## Content

# 1. Duration Monday, August 29th, 2022 - Saturday, September 3rd, 2022 \ --- \ # 2. Learning Record ## 2. 1 Do Experiments Two days after I started to do the experiment, I suddenly found that the code repository (BDCNN) I was working in is for the paper \[1\] which is about micro-expression recognition, not micro-expression spotting. Then I switched to SoftNet-SpotME which is for paper \[2\]. The first step is face cropping which cost four days to finish in the SAMM dataset and two days in the CAS(ME)^2 dataset, which really shocked me a lot. The algorithm is not sophisticated. The Python process cost only about 5% of the CPU’s computing ability. It was just because the dataset has a large number of images. During my experiments, the C disk only left about one G of storage. Holy shit! \ --- \ # 3. Feeling ## 3. 2 Happy After months of researching, I finally found the code that could run successfully. \ --- \ # 4. References \[1\]B. Chen, K.-H. Liu, Y. Xu, Q.-Q. Wu, and J.-F. Yao, “Block Division Convolutional Network with Implicit Deep Features Augmentation for Micro-Expression Recognition,” *IEEE Transactions on Multimedia*, pp. 1–1, 2022, doi: [10.1109/TMM.2022.3141616](https://doi.org/10.1109/TMM.2022.3141616). \[2\]G.-B. Liong, J. See, and L.-K. Wong, “Shallow Optical Flow Three-Stream CNN for Macro- and Micro-Expression Spotting from Long Videos.” arXiv, 2021. doi: [10.48550/ARXIV.2106.06489](https://doi.org/10.48550/ARXIV.2106.06489).

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