EMERGENCY

[CharranTridandapani]

i'm very impressed about ur project , i'm doing my finaal year project eeg based emotion recognistion system ,i dont know hoe to access the deep dataset , could you please help me and guide me how your code works which really helpful for me , thank you very much lets connect as soon as possible

[TahaRostami]

Using the DEAP Dataset

You can access the DEAP dataset here: DEAP Dataset Download.

Note: You need an email address with your university's domain to request access to download this dataset.

Instructions for Using the Dataset

1. Download the Dataset

Once you've downloaded the dataset, navigate to the src folder in your project directory.

2. Update File Paths

Open the relevant Python files and change the fw_path variable from:

fw_path = 'C:\\Users\\Sara Rostami.D\\Desktop\\EEG\\data\\'

to the location where you saved your dataset.

3. Install Required Packages

Ensure you have installed the required Python packages, such as sklearn and stable-baselines. You can identify the necessary packages by checking the import statements at the top of each Python file in the src directory.

4. Run the Main Script

Finally, execute main.py from the src directory. This script will handle all required tasks, including loading and preprocessing the data, as well as training and evaluation.

[CharranTridandapani]

I mailed them but no reply yet , do u have the trained weights and dataset so that u can share me

On Thu, 1 Aug 2024 at 12:20 AM, Taha Rostami @.***> wrote:

Using the DEAP Dataset

You can access the DEAP dataset here: DEAP Dataset Download https://www.eecs.qmul.ac.uk/mmv/datasets/deap/download.html.

Note: You need an email address with your university's domain to request access to download this dataset. Instructions for Using the Dataset 1. Download the Dataset

Once you've downloaded the dataset, navigate to the src folder in your project directory.

2. Update File Paths

Open the relevant Python files and change the fw_path variable from:

fw_path = 'C:\Users\Sara Rostami.D\Desktop\EEG\data\'

to the location where you saved your dataset.

3. Install Required Packages

Ensure you have installed the required Python packages, such as sklearn and stable-baselines. You can identify the necessary packages by checking the import statements at the top of each Python file in the src directory.

4. Run the Main Script

Finally, execute main.py from the src directory. This script will handle all required tasks, including loading and preprocessing the data, as well as training and evaluation.

— Reply to this email directly, view it on GitHub https://github.com/SaraRostami/DeepRL_EmotionRecognition_UsingEEGsignals/issues/1#issuecomment-2260897744, or unsubscribe https://github.com/notifications/unsubscribe-auth/A6XQRTXG2XW3SSBPDP2G57LZPEFDRAVCNFSM6AAAAABLT3RVA6VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDENRQHA4TONZUGQ . You are receiving this because you authored the thread.Message ID: <SaraRostami/DeepRL_EmotionRecognition_UsingEEGsignals/issues/1/2260897744 @github.com>

[SaraRostami]

Unfortunately, I don't have the trained weights saved. Additionally, I downloaded the dataset onto my PC at the time, and it has a large volume, so I can't share it with you. However, from what I remember, they were quite fast in responding to me. I suggest you try contacting them again.