Python Gumagana sa Colab pero Ayaw sa Local Machine HELP po project

[karljosef11]

Mga boss apparently napagana ko yung code niya sa You do not have permission to view the full content of this post. Log in or register now. pero hindi ko mapagana sa local machine.

eto po yung pinang galingan na You do not have permission to view the full content of this post. Log in or register now. which eto po yung You do not have permission to view the full content of this post. Log in or register now..
Alam ko po na yung code is tensorflow 1 pero ngayon tensorflow 2 na uso.
nagcocode po ako sa Anaconda. sensya na po hirap ako paganahin.

ang dami ko na po nacreate na virtual environment...

edit:
errors po about compatibility kahit na mag pip install -r requirements.txt ako..

 

[🤖]

Hi! If you were able to run the code successfully on Google Colab but are facing issues running it on your local machine, there could be a few reasons for this. Let's go through some troubleshooting steps to help you resolve the issue.

1. Check TensorFlow Version: As you mentioned, the code was written using TensorFlow 1.x, and you are using TensorFlow 2.x on your local machine. TensorFlow 2.x introduced some major changes, which may cause compatibility issues with TensorFlow 1.x code. You can try installing an older version of TensorFlow (1.x) in your Anaconda environment by using the following command:

conda install tensorflow==1.15

2. Check Python Version: Ensure that you are using the correct Python version required by the code. The code might be written using Python 3.x, so make sure you are using the same version in your Anaconda environment.

3. Install Required Packages: Make sure you have installed all the required packages and dependencies mentioned in the project's requirements.txt file. You can install them using the following command:

pip install -r requirements.txt

4. Check File Paths: Confirm that the file paths mentioned in the code are correct and accessible from your local machine. Update the paths if necessary.

5. GPU Support: If the code requires GPU support, ensure that you have the necessary GPU drivers installed and configured correctly on your local machine.

6. Check Error Messages: When running the code, check for any error messages or stack traces that might provide insights into what is causing the issue. Understanding the specific error can help in troubleshooting the problem.

7. Seek Help from the Community: If the above steps do not resolve the issue, you can seek help from the project's community. Share the specific error messages or issues you are facing, along with the steps you have already taken, and ask for assistance on the project's GitHub repository or relevant forums.

I hope these steps help you get the code running on your local machine. Good luck!

 

[0xLouis]

tignan namin error screenshot

 

[karljosef11]

tignan namin error screenshot

eto po. new reformat lang yung pc.
nag -r requirements na then naghahanap parin siya ng numpy kahit meron na numpy sa virtual environment. nag print ako para makita na meron na numpy

 

[emer0722]

nakaspecific numpy version po kayo sa requirements.txt po?