semvec/pypi-packages huggingface dataset:
deepfitv 4.3
deepfit package

# DeepFit
DeepFit is an open source package for creating novel methods that help all the stake holders better manage Patient Engagement. It leverages research technology like Data Shapley, Multi-Accuracy and cPCA from Stanford Artificial Intelligence Labs (**SAIL**)

![DeepFit](/Docs/deepfitnew.jpg)

* [Getting Started](#getting-started)
* [Programming Guide](#programming-guide)
* [vLife](www.virtusa.com/vlife)
* [License](license)

### Getting Started
Please Install DeepFit package using 
```
!pip install deepfitv
```

### Programming Guide

**Incision Object Declaration**
```
deepfitv.incision.Incision(<path of image>)
```

To identify incision image object detection run the object detection function run 
```
deepfitv.incision.Incision(<path of image>).object_detection()
```

To classify the incisin image into less than 30 or post 30 days of surgery run 
```
deepfitv.incision.Incision(<path of image>).classify_image()
```

#### Prerequisites

deepfitv.incision module requires 'imageai' and 'tensorflow' libraries as dependencies
```
!pip install tensorflow
!pip install imageai
```

To run the Incision Object Image use case one would need to download the model h5 files which we have developed and copy in the
directory 
```
Incision/models
```
[https://github.com/Virtusa-vLife/DeepFit/releases/download/deepfit/Image_classification.h5]

[https://github.com/Virtusa-vLife/DeepFit/releases/download/deepfit/detection_model.h5]

[https://github.com/OlafenwaMoses/ImageAI/releases/download/essential-v4/pretrained-yolov3.h5]

 download reference json at 

```
 Incision/json
```
 [https://github.com/Virtusa-vLife/DeepFit/releases/download/deepfit/detection_config.json]


### License
Coming Soon
inoutlogger 1.0.3
Decorator based utility to implement Entry-Exit logs for methods
Requires Python: >=3.6

# InOutLogger

Decorator based utility to implement Entry-Exit logs for methods

## Getting Started

### Prerequisites

```python
python>=3.6
```

### Installing

```bash
pip install inoutlogger
```

### A Simple Example

```python
from inoutlogger.utils import InOutLogger, Logger
from inoutlogger.decorators import entry_exit_log

# With Single Logger
LOGGER # Your Application Logger
logger1 = Logger(log_handler =LOGGER,  name="application_logger")

InOutLogger(logger1)

@in_out_log()
def test():
  print("Demo Single log handler")

test() # See Log file for output

# With Multiple Logger
LOGGER1 # Your Application Logger
LOGGER2 # Other Logger
logger1 = Logger(log_handler =LOGGER1,  name="application_logger")
logger2 = Logger(log_handler =LOGGER2,  name="Other")

InOutLogger([logger1, logger2])

@in_out_log(handler_name="Other")
def test():
  print("Demo Multiple log handler")

test() # See Log file for output  
```


## License

This project is licensed under the MIT License - see the [LICENSE.md](https://github.com/PyOneers/in-out-logger/blob/master/LICENSE) file for details