semvec/pypi-packages huggingface dataset:
vtelem 0.3.5
A real-time telemetry library.
Requires Python: >=3.7

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# vtelem ([0.3.5](https://pypi.org/project/vtelem/))

[![python](https://img.shields.io/pypi/pyversions/vtelem.svg)](https://pypi.org/project/vtelem/)
![Build Status](https://github.com/vkottler/vtelem/workflows/Python%20Package/badge.svg)
[![codecov](https://codecov.io/gh/vkottler/vtelem/branch/master/graphs/badge.svg?branch=master)](https://codecov.io/github/vkottler/vtelem)

*A real-time telemetry library.*

# Command-line Options

```
$ ./venv3.8/bin/vtelem -h

usage: vtelem [-h] [--version] [-v] [-C DIR] [-i {lo,enp0s25,wlo1}] [-p PORT]
              [--ws-cmd-port WS_CMD_PORT] [--ws-tlm-port WS_TLM_PORT]
              [--tcp-tlm-port TCP_TLM_PORT] [-t TICK]
              [--telem-rate TELEM_RATE] [--metrics-rate METRICS_RATE]
              [--time-scale TIME_SCALE] [-a APP_ID] [-u UPTIME]

A real-time telemetry library.

optional arguments:
  -h, --help            show this help message and exit
  --version             show program's version number and exit
  -v, --verbose         set to increase logging verbosity
  -C DIR, --dir DIR     execute from a specific directory
  -i {lo,enp0s25,wlo1}, --interface {lo,enp0s25,wlo1}
                        interface to bind to
  -p PORT, --port PORT  http api port
  --ws-cmd-port WS_CMD_PORT
                        websocket command-interface port
  --ws-tlm-port WS_TLM_PORT
                        websocket telemetry-interface port
  --tcp-tlm-port TCP_TLM_PORT
                        tcp telemetry-interface port
  -t TICK, --tick TICK  lenth of a time tick
  --telem-rate TELEM_RATE
                        rate of the telemetry-servicing loop
  --metrics-rate METRICS_RATE
                        default rate of internal metrics data
  --time-scale TIME_SCALE
                        scalar to apply to the progression of time
  -a APP_ID, --app-id APP_ID
                        a value that forms the basis for the application
                        identifier
  -u UPTIME, --uptime UPTIME
                        specify a finite duration to run the server

```

# Documentation

Project documentation can be found in
[Markdown](https://www.markdownguide.org/) files in the [`docs/`](docs)
directory.

* [Primitive Types](docs/primitive.md)
* [Frame Types](docs/message.md)
* [Message Types](docs/message_type.md)
* [Channel Identifiers](docs/channel_identifier.md)
* [Serializable Data Structures](docs/serializable.md)

# Internal Dependency Graph

A coarse view of the internal structure and scale of
`vtelem`'s source.
Generated using [pydeps](https://github.com/thebjorn/pydeps) (via
`mk python-deps`).

![vtelem's Dependency Graph](im/pydeps.svg)
TDY-PKG 1.1.4
its an implimentation of TF-2 , Detectron and yolov5
Requires Python: >=3.7

# Package for TF2 , Detectron2 and Yolov5 Inferencing.
This packge can be useful to do inferencing on TF2, Detectron2 and yolov5.
All the supported libraries are already added in the package.<br>
User can select five pretrained model from each framework to do prediction.<br>
## TF2
1. ssd_mobilenet_v1_fpn_640x640_coco17_tpu-8<br>
2. ssd_resnet101_v1_fpn_1024x1024_coco17_tpu-8<br>
3. efficientdet_d4_coco17_tpu-32<br>
4. faster_rcnn_resnet101_v1_1024x1024_coco17_tpu-8<br>
5. efficientdet_d7_coco17_tpu-32<br>

## Detectron2
1. faster_rcnn_R_50_FPN_1x<br>
2. faster_rcnn_R_50_FPN_3x<br>
3. faster_rcnn_R_101_FPN_3x<br>
4. retinanet_R_50_FPN_1x<br>
5. faster_rcnn_R_50_C4_1x<br>

## Yolov5
1. yolov5n
2. yolov5s
3. yolov5m
4. yolov5l
5. yolov5x



## How to Run?
Step 1: 
```python
pip install TDY-PKG
```
Step 2:
Copy the templates, utils folder and app.py file in any directory from the [Github link](https://github.com/saquibquddus/TF2_Detectron2_Yolov5_PKG)

Step 3:
Run app.py file.
```python
python app.py
```

Step 4:
Go to : http://127.0.0.1:9502/

Step 5:
Upload Image and select Framework and Model. 
![UI Image](https://github.com/saquibquddus/TF2_Detectron2_Yolov5_PKG/blob/master/UI.JPG?raw=true)

Step 6:
Click On Predict.(The model will get download in runtime to do prediction)
![Predicted UI image](https://github.com/saquibquddus/TF2_Detectron2_Yolov5_PKG/blob/master/Predicted_UI.JPG?raw=true)