Revamped debug UI and add camera / process info, ffprobe copying (#4349)

* Move each camera to a separate card and show per process info

* Install top

* Add support for cpu usage stats

* Use cpu usage stats in debug

* Increase number of runs to ensure good results

* Add ffprobe endpoint

* Get ffprobe for multiple inputs

* Copy ffprobe in output

* Add fps to camera metrics

* Fix lint errors

* Update stats config

* Add ffmpeg pid

* Use grid display so more cameras can take less vertical space

* Fix hanging characters

* Only show the current detector

* Fix bad if statement

* Return full output of ffprobe process

* Return full output of ffprobe process

* Don't specify rtsp_transport

* Make ffprobe button show dialog with output and option to copy

* Adjust ffprobe api to take paths directly

* Add docs for ffprobe api
This commit is contained in:
Nicolas Mowen 2022-11-13 11:48:14 -07:00 committed by GitHub
parent 9c9220979e
commit c97aac6c94
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
7 changed files with 235 additions and 52 deletions

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@ -63,6 +63,7 @@ RUN apt-get -qq update \
apt-transport-https \
gnupg \
wget \
procps \
unzip tzdata libxml2 xz-utils \
python3-pip \
# add raspberry pi repo

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@ -264,3 +264,11 @@ Get recording segment details for the given timestamp range.
| -------- | ---- | ------------------------------------- |
| `after` | int | Unix timestamp for beginning of range |
| `before` | int | Unix timestamp for end of range |
### `GET /api/ffprobe`
Get ffprobe output for camera feed paths.
| param | Type | Description |
| ------- | ------ | ---------------------------------- |
| `paths` | string | `,` separated list of camera paths |

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@ -1,8 +1,8 @@
import base64
from collections import OrderedDict
from datetime import datetime, timedelta
import copy
import logging
import json
import os
import subprocess as sp
import time
@ -28,9 +28,9 @@ from playhouse.shortcuts import model_to_dict
from frigate.const import CLIPS_DIR
from frigate.models import Event, Recordings
from frigate.object_processing import TrackedObject, TrackedObjectProcessor
from frigate.object_processing import TrackedObject
from frigate.stats import stats_snapshot
from frigate.util import clean_camera_user_pass
from frigate.util import clean_camera_user_pass, ffprobe_stream
from frigate.version import VERSION
logger = logging.getLogger(__name__)
@ -957,3 +957,37 @@ def imagestream(detected_frames_processor, camera_name, fps, height, draw_option
b"--frame\r\n"
b"Content-Type: image/jpeg\r\n\r\n" + jpg.tobytes() + b"\r\n\r\n"
)
@bp.route("/ffprobe", methods=["GET"])
def ffprobe():
path_param = request.args.get("paths", "")
if not path_param:
return jsonify(
{"success": False, "message": f"Path needs to be provided."}, "404"
)
if "," in clean_camera_user_pass(path_param):
paths = path_param.split(",")
else:
paths = [path_param]
# user has multiple streams
output = []
for path in paths:
ffprobe = ffprobe_stream(path)
output.append(
{
"return_code": ffprobe.returncode,
"stderr": json.loads(ffprobe.stderr.decode("unicode_escape").strip())
if ffprobe.stderr.decode()
else {},
"stdout": json.loads(ffprobe.stdout.decode("unicode_escape").strip())
if ffprobe.stdout.decode()
else {},
}
)
return jsonify(output)

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@ -14,6 +14,7 @@ from frigate.config import FrigateConfig
from frigate.const import RECORD_DIR, CLIPS_DIR, CACHE_DIR
from frigate.types import StatsTrackingTypes, CameraMetricsTypes
from frigate.version import VERSION
from frigate.util import get_cpu_stats
from frigate.object_detection import ObjectDetectProcess
logger = logging.getLogger(__name__)
@ -90,6 +91,9 @@ def stats_snapshot(stats_tracking: StatsTrackingTypes) -> dict[str, Any]:
for name, camera_stats in camera_metrics.items():
total_detection_fps += camera_stats["detection_fps"].value
pid = camera_stats["process"].pid if camera_stats["process"] else None
ffmpeg_pid = (
camera_stats["ffmpeg_pid"].value if camera_stats["ffmpeg_pid"] else None
)
cpid = (
camera_stats["capture_process"].pid
if camera_stats["capture_process"]
@ -102,6 +106,7 @@ def stats_snapshot(stats_tracking: StatsTrackingTypes) -> dict[str, Any]:
"detection_fps": round(camera_stats["detection_fps"].value, 2),
"pid": pid,
"capture_pid": cpid,
"ffmpeg_pid": ffmpeg_pid,
}
stats["detectors"] = {}
@ -114,6 +119,8 @@ def stats_snapshot(stats_tracking: StatsTrackingTypes) -> dict[str, Any]:
}
stats["detection_fps"] = round(total_detection_fps, 2)
stats["cpu_usages"] = get_cpu_stats()
stats["service"] = {
"uptime": (int(time.time()) - stats_tracking["started"]),
"version": VERSION,

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@ -1,6 +1,8 @@
import copy
import datetime
import logging
import subprocess as sp
import json
import re
import signal
import traceback
@ -679,6 +681,52 @@ def escape_special_characters(path: str) -> str:
return path
def get_cpu_stats() -> dict[str, dict]:
"""Get cpu usages for each process id"""
usages = {}
# -n=2 runs to ensure extraneous values are not included
top_command = ["top", "-b", "-n", "2"]
p = sp.run(
top_command,
encoding="ascii",
capture_output=True,
)
if p.returncode != 0:
logger.error(p.stderr)
return usages
else:
lines = p.stdout.split("\n")
for line in lines:
stats = list(filter(lambda a: a != "", line.strip().split(" ")))
try:
usages[stats[0]] = {
"cpu": stats[8],
"mem": stats[9],
}
except:
continue
return usages
def ffprobe_stream(path: str) -> sp.CompletedProcess:
"""Run ffprobe on stream."""
ffprobe_cmd = [
"ffprobe",
"-print_format",
"json",
"-show_entries",
"stream=codec_long_name,width,height,bit_rate,duration,display_aspect_ratio,avg_frame_rate",
"-loglevel",
"quiet",
path,
]
return sp.run(ffprobe_cmd, capture_output=True)
class FrameManager(ABC):
@abstractmethod
def create(self, name, size) -> AnyStr:

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@ -39,9 +39,10 @@ export const handlers = [
return res(
ctx.status(200),
ctx.json({
cpu_usages: { 74: {cpu: 6, mem: 6}, 64: { cpu: 5, mem: 5 }, 54: { cpu: 4, mem: 4 }, 71: { cpu: 3, mem: 3}, 60: {cpu: 2, mem: 2}, 72: {cpu: 1, mem: 1} },
detection_fps: 0.0,
detectors: { coral: { detection_start: 0.0, inference_speed: 8.94, pid: 52 } },
front: { camera_fps: 5.0, capture_pid: 64, detection_fps: 0.0, pid: 54, process_fps: 0.0, skipped_fps: 0.0 },
front: { camera_fps: 5.0, capture_pid: 64, detection_fps: 0.0, pid: 54, process_fps: 0.0, skipped_fps: 0.0, ffmpeg_pid: 72 },
side: {
camera_fps: 6.9,
capture_pid: 71,
@ -49,6 +50,7 @@ export const handlers = [
pid: 60,
process_fps: 0.0,
skipped_fps: 0.0,
ffmpeg_pid: 74,
},
service: { uptime: 34812, version: '0.8.1-d376f6b' },
})

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@ -5,12 +5,15 @@ import Heading from '../components/Heading';
import Link from '../components/Link';
import { useMqtt } from '../api/mqtt';
import useSWR from 'swr';
import axios from 'axios';
import { Table, Tbody, Thead, Tr, Th, Td } from '../components/Table';
import { useCallback } from 'preact/hooks';
import { useCallback, useState } from 'preact/hooks';
import Dialog from '../components/Dialog';
const emptyObject = Object.freeze({});
export default function Debug() {
const [state, setState] = useState({ showFfprobe: false, ffprobe: '' });
const { data: config } = useSWR('config');
const {
@ -18,12 +21,10 @@ export default function Debug() {
} = useMqtt('stats');
const { data: initialStats } = useSWR('stats');
const { detectors, service = {}, detection_fps: _, ...cameras } = stats || initialStats || emptyObject;
const { cpu_usages, detectors, service = {}, detection_fps: _, ...cameras } = stats || initialStats || emptyObject;
const detectorNames = Object.keys(detectors || emptyObject);
const detectorDataKeys = Object.keys(detectors ? detectors[detectorNames[0]] : emptyObject);
const cameraNames = Object.keys(cameras || emptyObject);
const cameraDataKeys = Object.keys(cameras[cameraNames[0]] || emptyObject);
const handleCopyConfig = useCallback(() => {
async function copy() {
@ -32,11 +33,64 @@ export default function Debug() {
copy();
}, [config]);
const onHandleFfprobe = async (camera, e) => {
if (e) {
e.stopPropagation();
}
setState({ ...state, showFfprobe: true });
let paths = '';
config.cameras[camera].ffmpeg.inputs.forEach((input) => {
if (paths) {
paths += ',';
paths += input.path;
} else {
paths = input.path;
}
});
const response = await axios.get('ffprobe', {
params: {
paths,
},
});
if (response.status === 200) {
setState({ showFfprobe: true, ffprobe: JSON.stringify(response.data, null, 2) });
} else {
setState({ ...state, ffprobe: 'There was an error getting the ffprobe output.' });
}
};
const onCopyFfprobe = async () => {
await window.navigator.clipboard.writeText(JSON.stringify(state.ffprobe, null, 2));
setState({ ...state, ffprobe: '', showFfprobe: false });
};
return (
<div className="space-y-4 p-2 px-4">
<Heading>
Debug <span className="text-sm">{service.version}</span>
</Heading>
{state.showFfprobe && (
<Dialog>
<div className="p-4">
<Heading size="lg">Ffprobe Output</Heading>
{state.ffprobe != '' ? <p className="mb-2">{state.ffprobe}</p> : <ActivityIndicator />}
</div>
<div className="p-2 flex justify-start flex-row-reverse space-x-2">
<Button className="ml-2" onClick={() => onCopyFfprobe()} type="text">
Copy
</Button>
<Button
className="ml-2"
onClick={() => setState({ ...state, ffprobe: '', showFfprobe: false })}
type="text"
>
Close
</Button>
</div>
</Dialog>
)}
{!detectors ? (
<div>
@ -44,53 +98,82 @@ export default function Debug() {
</div>
) : (
<Fragment>
<div data-testid="detectors" className="min-w-0 overflow-auto">
<Heading size="lg">Detectors</Heading>
<div data-testid="detectors" className="grid grid-cols-1 3xl:grid-cols-3 md:grid-cols-2 gap-4">
{detectorNames.map((detector) => (
<div key={detector} className="dark:bg-gray-800 shadow-md hover:shadow-lg rounded-lg transition-shadow">
<div className="text-lg flex justify-between p-4">{detector}</div>
<div className="p-2">
<Table className="w-full">
<Thead>
<Tr>
<Th>detector</Th>
{detectorDataKeys.map((name) => (
<Th key={name}>{name.replace('_', ' ')}</Th>
))}
<Th>P-ID</Th>
<Th>Detection Start</Th>
<Th>Inference Speed</Th>
</Tr>
</Thead>
<Tbody>
{detectorNames.map((detector, i) => (
<Tr key={i} index={i}>
<Td>{detector}</Td>
{detectorDataKeys.map((name) => (
<Td key={`${name}-${detector}`}>{detectors[detector][name]}</Td>
))}
<Tr>
<Td>{detectors[detector]['pid']}</Td>
<Td>{detectors[detector]['detection_start']}</Td>
<Td>{detectors[detector]['inference_speed']}</Td>
</Tr>
))}
</Tbody>
</Table>
</div>
</div>
))}
</div>
<div data-testid="cameras" className="min-w-0 overflow-auto">
<Heading size="lg">Cameras</Heading>
<div data-testid="cameras" className="grid grid-cols-1 3xl:grid-cols-3 md:grid-cols-2 gap-4">
{cameraNames.map((camera) => (
<div key={camera} className="dark:bg-gray-800 shadow-md hover:shadow-lg rounded-lg transition-shadow">
<div className="text-lg flex justify-between p-4">
<Link href={`/cameras/${camera}`}>{camera.replaceAll('_', ' ')}</Link>
<Button onClick={(e) => onHandleFfprobe(camera, e)}>ffprobe</Button>
</div>
<div className="p-2">
<Table className="w-full">
<Thead>
<Tr>
<Th>camera</Th>
{cameraDataKeys.map((name) => (
<Th key={name}>{name.replace('_', ' ')}</Th>
))}
<Th>Process</Th>
<Th>P-ID</Th>
<Th>fps</Th>
<Th>Cpu %</Th>
<Th>Memory %</Th>
</Tr>
</Thead>
<Tbody>
{cameraNames.map((camera, i) => (
<Tr key={i} index={i}>
<Td>
<Link href={`/cameras/${camera}`}>{camera.replaceAll('_', ' ')}</Link>
</Td>
{cameraDataKeys.map((name) => (
<Td key={`${name}-${camera}`}>{cameras[camera][name]}</Td>
))}
<Tr key="capture" index="0">
<Td>Capture</Td>
<Td>{cameras[camera]['capture_pid']}</Td>
<Td>{cameras[camera]['process_fps']}</Td>
<Td>{cpu_usages[cameras[camera]['capture_pid']]['cpu']}%</Td>
<Td>{cpu_usages[cameras[camera]['capture_pid']]['mem']}%</Td>
</Tr>
<Tr key="detect" index="1">
<Td>Detect</Td>
<Td>{cameras[camera]['pid']}</Td>
<Td>
{cameras[camera]['detection_fps']} ({cameras[camera]['skipped_fps']} skipped)
</Td>
<Td>{cpu_usages[cameras[camera]['pid']]['cpu']}%</Td>
<Td>{cpu_usages[cameras[camera]['pid']]['cpu']}%</Td>
</Tr>
<Tr key="ffmpeg" index="2">
<Td>ffmpeg</Td>
<Td>{cameras[camera]['ffmpeg_pid']}</Td>
<Td>{cameras[camera]['camera_fps']}</Td>
<Td>{cpu_usages[cameras[camera]['ffmpeg_pid']]['cpu']}%</Td>
<Td>{cpu_usages[cameras[camera]['ffmpeg_pid']]['cpu']}%</Td>
</Tr>
))}
</Tbody>
</Table>
</div>
</div>
))}
</div>
<p>Debug stats update automatically every {config.mqtt.stats_interval} seconds.</p>
</Fragment>