Bhimraj Yadav bhimrazy
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bhimrazy
/ concurrent_task_executor.py
Created
March 10, 2024 17:05
This Python code defines a function concurrent_task_executor that allows executing tasks concurrently on a list of data objects using ThreadPoolExecutor from the concurrent.futures module. It includes a progress bar using tqdm to track the completion of tasks. The function is useful for processing data in parallel, improving efficiency when deal…
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| import concurrent.futures | |
| from typing import Any, Callable, List | |
| from tqdm import tqdm | |
| def concurrent_task_executor(task: Callable[[Any], None], data_list: List[Any], max_workers: int = 32, description: str = None) -> None: | |
| """ | |
| Execute tasks concurrently on a list of data objects using ThreadPoolExecutor. | |
| Args: | |
| task (Callable): The function to apply to each data object. |
bhimrazy
/ download.py
Created
May 8, 2022 09:07
Image Classification in 5 simple steps. Using pre-trained DenseNet model in PyTorch
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| #[STEP-2] : Downloading an example Image and imagenet output classes | |
| # Download an example image from the pytorch website | |
| !wget "https://github.com/pytorch/hub/raw/master/images/dog.jpg" -O "dog.jpg" | |
| # Download ImageNet labels | |
| !wget https://raw.githubusercontent.com/pytorch/hub/master/imagenet_classes.txt | |
| # Read the image classes | |
| with open("imagenet_classes.txt", "r") as f: |