Update README - Clean imports

README.md

@@ -76,7 +76,7 @@ food-detection-yolov5
 
 
 ## 📔  **Notebook**
-- For inference, use this notebook to run the web app [![Notebook](https://colab.research.google.com/assets/colab-badge.svg)](https://drive.google.com/file/d/1CGEtC65kvoZ-4tcqzeknGrbERvb0beuU/view?usp=sharing)
+- For inference, use this notebook to run the web app [![Notebook](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1X06Y-HSPeHbEWtsXpyal8R1PliiVvpJq?usp=sharing)
 - For training, refer to these notebooks for your own training:
   -  Detection: [![Notebook](https://colab.research.google.com/assets/colab-badge.svg)](https://drive.google.com/file/d/1SywGfyfj3SVrE7VAAl3CshB9s3o8WRXL/view?usp=sharing)
   -  Classification: [![Notebook](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/11VzRR8NmJyZGJ-3obkuV0zZAlYAPhCY1?usp=sharing)
@@ -117,19 +117,6 @@ In total, there are 3 implementation versions:
 For those who want to play around with the first version, which remains some features, differ from the new version. You can check out the [v1](https://github.com/lannguyen0910/food-detection-yolov5/tree/v1) branch.
 
  ## 🌟 **Inference**
-- File structure
-```
-this repo
-│   app.py
-└───configs
-│     └───classification          # Contains classification's configurations
-|             └───test.yaml 
-│     └───detection          # Contains detection's configurations
-|             └───....
-│     └───segmentation          # Contains segmentation's configurations
-|             └───....
-
-```
 - Install requirements.
 ```
 pip install -e .
@@ -140,10 +127,14 @@ pip install -e .
 sudo apt-get install ffmpeg
 ``` -->
 
-- Start the app. Safe to run in insecure connection ```http``` on localhost. You can generate SSL certificate to run the app in ```https```.
+- Start the app (Windows). Safe to run in insecure connection ```http``` on localhost. You can generate SSL certificate to run the app in ```https```.
 ```
 run.bat
 ```
+or 
+```python
+python3 app.py
+```
 
 <!-- - Switch between ```CPU``` and ```GPU``` in ```configs```
 ```python

theseus/detection/augmentations/tta.py

@@ -1,6 +1,5 @@
 import numpy as np
 import torch
-from itertools import product
 from theseus.utilities.postprocess import box_fusion
 
 

theseus/detection/models/yolov8.py

@@ -1,4 +1,3 @@
-import os
 import numpy as np
 
 import torch

theseus/opt.py

@@ -2,7 +2,6 @@
 Modified from https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.4/tools/program.py
 """
 
-from argparse import ArgumentParser, RawDescriptionHelpFormatter
 import yaml
 import json
 import os

theseus/segmentation/datasets/csv_dataset.py

@@ -1,5 +1,4 @@
-from typing import Dict, List, Optional
-import os
+from typing import List, Optional
 import torch
 import numpy as np
 import pandas as pd

theseus/segmentation/datasets/dataset.py

@@ -1,4 +1,4 @@
-from typing import Dict, List, Optional
+from typing import Dict
 import os
 import torch
 import numpy as np

theseus/utilities/loading.py

@@ -1,8 +1,5 @@
-import os
 import yaml
 import torch
-import glob
-import logging
 from theseus.utilities.loggers.observer import LoggerObserver
 LOGGER = LoggerObserver.getLogger("main")
 

theseus/utilities/loggers/observer.py

@@ -1,4 +1,4 @@
-from typing import Callable, Dict, Optional, List
+from typing import Dict, List
 import logging
 import torch
 import matplotlib as mpl

theseus/utilities/loggers/stdout_logger.py

@@ -1,4 +1,3 @@
-import os
 import logging
 from .observer import LoggerSubscriber
 

theseus/utilities/loggers/subscriber.py

@@ -1,6 +1,3 @@
-from typing import Callable, Dict, Optional
-
-
 class LoggerSubscriber:
     def __init__(self, **kwargs) -> None:
         pass

theseus/utilities/tools/split_image.py

@@ -1,4 +1,3 @@
-import csv
 import argparse
 import random
 from tqdm import tqdm