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https://github.com/fanqie03/simple-mediapipe
🍦用python实现mediapipe。mediapipe python implement🍦
https://github.com/fanqie03/simple-mediapipe
Last synced: about 2 months ago
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🍦用python实现mediapipe。mediapipe python implement🍦
- Host: GitHub
- URL: https://github.com/fanqie03/simple-mediapipe
- Owner: fanqie03
- License: apache-2.0
- Created: 2020-12-31T11:58:30.000Z (almost 4 years ago)
- Default Branch: master
- Last Pushed: 2022-09-23T05:38:33.000Z (about 2 years ago)
- Last Synced: 2024-07-30T08:06:24.717Z (5 months ago)
- Language: Python
- Size: 444 KB
- Stars: 16
- Watchers: 3
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README-en.md
- License: LICENSE
Awesome Lists containing this project
- awesome-mediapipe - simple-mediapipe
README
# simple mediapipe
Mediapipe python implement. Convenience to understand. Pure Python. 1000 line.
[English](README-en.md)
[ä¸ć–‡](README.md)
## start
clone and install
```shell
git clone https://github.com/mengfu188/simple_mediapipe
cd simple_mediapipe
pip install requirements.txt
```
an example
```shell
python test/demo_run.py simple_mediapipe/graphs/sample3.pbtxt
```
resule log
```log
[I 201231 19:38:42 MainThread demo_run:33] node {
calculator: "ProducerCalculator"
output_stream: "data"
}
node {
calculator: "ConsumerCalculator"
input_stream: "data"
}
[I 201231 19:38:42 MainThread stream:38] stream add downstream
[I 201231 19:38:42 MainThread collection:14] collection add OUTPUT_STREAM:"data", current queue size is 0, data
[I 201231 19:38:42 MainThread stream:38] stream add downstream <>
[I 201231 19:38:42 MainThread collection:14] collection add INPUT_STREAM:"data", current queue size is 0, data
[I 201231 19:38:42 MainThread graph:285] initialize graph success ^_^
[I 201231 19:38:42 MainThread scheduler:115] starting scheduler
[I 201231 19:38:43 MainThread __init__:53] after 1 seconds produce Packet:None_None, Timestamp: 2020-12-31 19:38:43, Data: {'id': 0}
[I 201231 19:38:43 MainThread __init__:67] consume Packet:None_None, Timestamp: 2020-12-31 19:38:43, Data: {'id': 0}
[I 201231 19:38:44 MainThread __init__:53] after 1 seconds produce Packet:None_None, Timestamp: 2020-12-31 19:38:44, Data: {'id': 1}
[I 201231 19:38:44 MainThread __init__:67] consume Packet:None_None, Timestamp: 2020-12-31 19:38:44, Data: {'id': 1}
[I 201231 19:38:45 MainThread __init__:53] after 1 seconds produce Packet:None_None, Timestamp: 2020-12-31 19:38:45, Data: {'id': 2}
[I 201231 19:38:45 MainThread __init__:67] consume Packet:None_None, Timestamp: 2020-12-31 19:38:45, Data: {'id': 2}
[I 201231 19:38:46 MainThread __init__:53] after 1 seconds produce Packet:None_None, Timestamp: 2020-12-31 19:38:46, Data: {'id': 3}
[I 201231 19:38:46 MainThread __init__:67] consume Packet:None_None, Timestamp: 2020-12-31 19:38:46, Data: {'id': 3}
```
change log level show more infomation.
```shell
python test/demo_run.py simple_mediapipe/graphs/sample3.pbtxt --log_level DEBUG
```
## step by step to create new calculator
implement a producer that generates data regularly `ConsumerCalculator`.
1. write`node_options.pbtxt` (You can skip this step without using a configuration file)
TODO
2. use `protobuf` convert `node_options.pbtxt` to `py` file format (You can skip this step without using a configuration file)
TODO
download [protocbuf](https://github.com/protocolbuffers/protobuf/releases),
3. implement [producer `ProducerCalculator` and consumer `ConsumerCalculator`](simple_mediapipe/calculators/core/__init__.py)
```python
from simple_mediapipe.calculator import CalculatorBase
from simple_mediapipe.registration import CALCULATOR
from logzero import logger
import time
from simple_mediapipe.packet import Packet
@CALCULATOR.register_module()
class ProducerCalculator(CalculatorBase):
def open(self, cc):
self.seperate = 1
self.id = 0
def process(self, cc):
time.sleep(self.seperate)
packet = Packet(data={'id':self.id})
logger.info('after %s seconds produce %s', self.seperate, packet)
for stream in cc.outputs():
stream.add_packet(packet)
self.id += 1
@CALCULATOR.register_module()
class ConsumerCalculator(CalculatorBase):
def open(self, cc):
...
def process(self, cc):
for stream in cc.inputs():
item = stream.get()
logger.info('consume %s', item)
```
4. write graph code [`graph.pbtxt`](simple_mediapipe/graphs/sample3.pbtxt)
```protobuf
# producer and consumer
node {
calculator: "ProducerCalculator"
output_stream: "data"
}
node {
calculator: "ConsumerCalculator"
input_stream: "data"
}
```
5. Write execution file, read configuration, execute
[source code](test/demo_run.py)
```python
import mediapipe.framework.calculator_pb2 as calculator_pb2
from google.protobuf import text_format
import argparse
from simple_mediapipe.graph import CalculatorGraph
from logzero import logger
import logzero
import logging
from simple_mediapipe.packet import Packet
import time
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument('graphs', nargs='+', default=[], type=str,
help="graph location, first is main graph, other is sub graph")
parser.add_argument('--input_side_packet', type=str, default='',
help="input side packet, name=value,name=value...")
parser.add_argument('--output_side_packet', type=str, default='',
help="output side packet, name=value,name=value...")
return parser.parse_args()
def main():
args = get_args()
logzero.loglevel(logging.DEBUG)
graph_configs = []
for graph in args.graphs:
graph_config = calculator_pb2.CalculatorGraphConfig()
text_format.Merge(open(graph).read(), graph_config)
logger.info(graph_config)
graph_configs.append(graph_config)
graph = CalculatorGraph()
graph.initialize(graph_configs[0], graph_configs[1:])
graph.start_run(args.input_side_packet, None, True)
```
run
```shell
python test/demo_run.py simple_mediapipe/graphs/sample3.pbtxt
```
## other
### visualization
You can use it https://viz.mediapipe.dev/ visual `pbtxt` file
### file introduction
- [mediapipe](mediapipe) put mediapipe official configuration, can be updated by[convert_proto.cmd](convert_proto.cmd).
- [simple_mediapipe](simple_mediapipe) put this repository code.
- [convert_proto.cmd](convert_proto.cmd) update mediapipe official configuration, convert pbtxt file to py file
```cmd
convert_proto.cmd /path/to/mediapipe/official/repository
```
## TODO
- [x] side package
- [ ] demo
- [ ] graph profiler
scheduler
## reference
- [mediapipe](https://github.com/google/mediapipe)
- [mmcv](https://github.com/open-mmlab/mmcv)