Row 2175
Content Data
This page contains data entry 2175 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
I use Nvidia GPU on my machine to run an image segmentation model.
in the beginning, the PyCharm could not link to the GPU, but I find a method to solve it and make the GPU the first option instead of the machine GPU.
however, after installing Anaconda, the machine link to the GPU and I can run the code to create the mask of the image for segmentation: two issues that I notice
1- it takes more than 4 minutes to run one image
2- the image shows it is totally unexpected (as you can see in the attached image)
​
I use the same code and environment on my friend's device and it works fine and we get a great result!!!
​
did anyone face the issue? and what could be the reasons to solve?
| Field | Value |
|---|---|
| text | I use Nvidia GPU on my machine to run an image segmentation model. in the beginning, the PyCharm could not link to the GPU, but I find a method to solve it and make the GPU the first option instead of the machine GPU. however, after installing Anaconda, the machine link to the GPU and I can run the code to create the mask of the image for segmentation: two issues that I notice 1- it takes more than 4 minutes to run one image 2- the image shows it is totally unexpected (as you can see in t… |
| label | r/tensorflow |
| dataType | post |
| communityName | r/tensorflow |
| datetime | 2023-07-08 |
| username_encoded | Z0FBQUFBQm5LakwwblZvc3pKMW5BYmpFOVVjRURaZTNPWlMzdDQzQS1aWlJyNmNEd0M2ZzlTdlBXWlhXdFNVMXFzMXlaZFVJcll3TXliUTJadzE4b2FIcGlqUHQwLUlQQUE9PQ== |
| url_encoded | Z0FBQUFBQm5Lak9FdDhOd0FpeGxycDVvTkEycFlIMWRpTlhjRTgzQTlhQ0RudzJOX3RUZlctWjRES2kzcEhMYWljQWVkSFc2U3BrdG1ob0twT1JwRldTeFBvbUQ2SmJQd1JZVVhQZEhyNTdUNkpBZC1QU1VKNkVuVjBqRWpJVU5QaUtyalV4VHdtWkdMV0hzb0dWOWlsaURET1MzOGhNa25UNnBMSkhPZEtsaGdVT1pTYXcxbGg5ZnNLM002MEdqaG9lM21jOWhGZHQ4 |
Raw Record
{
"text": "I use Nvidia GPU on my machine to run an image segmentation model.\n\nin the beginning, the PyCharm could not link to the GPU, but I find a method to solve it and make the GPU the first option instead of the machine GPU. \n\nhowever, after installing Anaconda, the machine link to the GPU and I can run the code to create the mask of the image for segmentation: two issues that I notice \n\n1- it takes more than 4 minutes to run one image \n\n2- the image shows it is totally unexpected (as you can see in the attached image) \n\n​\n\nI use the same code and environment on my friend's device and it works fine and we get a great result!!!\n\n​\n\ndid anyone face the issue? and what could be the reasons to solve? ",
"label": "r/tensorflow",
"dataType": "post",
"communityName": "r/tensorflow",
"datetime": "2023-07-08",
"username_encoded": "Z0FBQUFBQm5LakwwblZvc3pKMW5BYmpFOVVjRURaZTNPWlMzdDQzQS1aWlJyNmNEd0M2ZzlTdlBXWlhXdFNVMXFzMXlaZFVJcll3TXliUTJadzE4b2FIcGlqUHQwLUlQQUE9PQ==",
"url_encoded": "Z0FBQUFBQm5Lak9FdDhOd0FpeGxycDVvTkEycFlIMWRpTlhjRTgzQTlhQ0RudzJOX3RUZlctWjRES2kzcEhMYWljQWVkSFc2U3BrdG1ob0twT1JwRldTeFBvbUQ2SmJQd1JZVVhQZEhyNTdUNkpBZC1QU1VKNkVuVjBqRWpJVU5QaUtyalV4VHdtWkdMV0hzb0dWOWlsaURET1MzOGhNa25UNnBMSkhPZEtsaGdVT1pTYXcxbGg5ZnNLM002MEdqaG9lM21jOWhGZHQ4"
}
Entry Information
- Entry ID: 2175
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000