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doc: update readme

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Skudalen 2021-07-20 13:19:10 +02:00
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README.md
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@ -11,12 +11,10 @@ Scripts to handle CSV files composed by 2 * 8 EMG sensors(left & right) devided
* Community libs: Python_speech_features, Pywt * Community libs: Python_speech_features, Pywt
#### Challanges in the module #### Challanges in the module
* The CSV handlig is for the moment hard-coded to fit the current project due to a very specific file structure and respective naming convention. * The CSV handlig requires a specific file structure. Se "How to use it"
* Preprocessing is still limited in Signal_prep.py * Preprocessing is still limited in Signal_prep.py
* Neural_Network_Analysis.py lacks a more general way to access multiple types of networks
#### Credits for insporational code #### Credits for insporational code
* Kapre: Keunwoochoi * Kapre: Keunwoochoi
* Audio-Classification: seth814 * Audio-Classification: seth814
* DeepLearningForAudioWithPyhton: musikalkemist * DeepLearningForAudioWithPyhton: musikalkemist
@ -35,7 +33,8 @@ Scripts to handle CSV files composed by 2 * 8 EMG sensors(left & right) devided
1. Clone the repo 1. Clone the repo
2. Place the data files in the working directory 2. Place the data files in the working directory
3. (For now) Add the session filenames in the desired load_data() function 3. Place the data files within the `data`-folder
(format: /`data`/<datatype>/<subject-folder+ID>/<session-folder>/<left/right-CSV-files>)
4. Assuming NN analysis: 4. Assuming NN analysis:
1. Create a `CSV_handler` object 1. Create a `CSV_handler` object
2. Load data with `load_data(CSV_handler, <datatype>)` 2. Load data with `load_data(CSV_handler, <datatype>)`

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TEST_mfcc.json
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