animations

This commit is contained in:
ryanfitzpatrickio
2026-08-03 16:04:46 -05:00
parent 8b28e299e6
commit fb1ebeed05
28 changed files with 5246 additions and 105 deletions
+106
View File
@@ -0,0 +1,106 @@
import { spawn } from 'node:child_process';
import { createWriteStream } from 'node:fs';
import { access, mkdtemp, readFile, rm } from 'node:fs/promises';
import { tmpdir } from 'node:os';
import { extname, resolve } from 'node:path';
import { pipeline } from 'node:stream/promises';
const VIDEO_EXTENSIONS = new Set(['.mp4', '.mov', '.webm', '.m4v']);
function run(command, args, options = {}) {
return new Promise((resolveRun, reject) => {
const child = spawn(command, args, { ...options, stdio: ['ignore', 'pipe', 'pipe'] });
let stdout = '';
let stderr = '';
child.stdout.on('data', (chunk) => { stdout = (stdout + chunk).slice(-16000); });
child.stderr.on('data', (chunk) => { stderr = (stderr + chunk).slice(-32000); });
child.once('error', reject);
child.once('close', (code) => {
if (code === 0) resolveRun({ stdout: stdout.trim(), stderr: stderr.trim() });
else reject(new Error((stderr || stdout || `${command} exited with ${code}`).trim()));
});
});
}
export function freeMocapBridge({ projectRoot }) {
const bundledPython = resolve(projectRoot, '.freemocap-venv/bin/python');
const worker = resolve(projectRoot, 'tools/freemocap_worker.py');
const python = process.env.TILT_FREEMOCAP_PYTHON || bundledPython;
async function workerStatus() {
try {
await access(python);
const result = await run(python, ['-c', 'import freemocap; print(freemocap.__version__)']);
const version = result.stdout.split('\n').at(-1)?.replace(/\x1b\[[0-9;]*m/g, '') || 'installed';
return { available: true, version };
} catch (error) {
return {
available: false,
message: `FreeMoCap worker is not installed (${error.message.split('\n').at(-1)})`,
};
}
}
return {
name: 'tilt-freemocap-bridge',
configureServer(server) {
server.middlewares.use('/api/freemocap/status', async (_request, response) => {
const status = await workerStatus();
response.statusCode = status.available ? 200 : 503;
response.setHeader('Content-Type', 'application/json');
response.end(JSON.stringify(status));
});
server.middlewares.use('/api/freemocap/process', async (request, response) => {
if (request.method !== 'POST') {
response.statusCode = 405;
response.end('POST a video file to this endpoint');
return;
}
const status = await workerStatus();
if (!status.available) {
response.statusCode = 503;
response.end(`${status.message}. Run npm run freemocap:setup.`);
return;
}
const url = new URL(request.url || '/', 'http://localhost');
const requestedName = url.searchParams.get('filename') || 'reference.mp4';
const requestedExtension = extname(requestedName).toLowerCase();
const extension = VIDEO_EXTENSIONS.has(requestedExtension) ? requestedExtension : '.mp4';
const fps = Math.max(1, Math.min(60, Number(url.searchParams.get('fps')) || 30));
const jobRoot = await mkdtemp(resolve(tmpdir(), 'tilt-freemocap-'));
const input = resolve(jobRoot, `upload${extension}`);
const recording = resolve(jobRoot, 'recording');
const output = resolve(jobRoot, 'result.csv');
const metadata = resolve(jobRoot, 'result.json');
try {
await pipeline(request, createWriteStream(input));
server.config.logger.info(`FreeMoCap processing ${requestedName}`);
await run(python, [
worker,
'--input', input,
'--recording', recording,
'--output', output,
'--metadata', metadata,
'--fps', String(fps),
], { cwd: projectRoot });
const csv = await readFile(output);
const resultMetadata = JSON.parse(await readFile(metadata, 'utf8'));
response.statusCode = 200;
response.setHeader('Content-Type', 'text/csv; charset=utf-8');
response.setHeader('X-Tilt-Mocap-Backend', `FreeMoCap ${status.version}`);
response.setHeader('X-Tilt-Source-Fps', String(resultMetadata.fps || fps));
response.end(csv);
} catch (error) {
server.config.logger.error(error.stack || error.message);
response.statusCode = 500;
response.setHeader('Content-Type', 'text/plain; charset=utf-8');
response.end(error.message);
} finally {
await rm(jobRoot, { recursive: true, force: true });
}
});
},
};
}
+83
View File
@@ -0,0 +1,83 @@
"""Run FreeMoCap's stable headless pipeline for one uploaded reference video."""
from __future__ import annotations
import argparse
import json
import shutil
import subprocess
from pathlib import Path
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser()
parser.add_argument("--input", required=True, type=Path)
parser.add_argument("--recording", required=True, type=Path)
parser.add_argument("--output", required=True, type=Path)
parser.add_argument("--metadata", required=True, type=Path)
parser.add_argument("--fps", required=True, type=float)
return parser.parse_args()
def prepare_mp4(source: Path, destination: Path) -> None:
destination.parent.mkdir(parents=True, exist_ok=True)
if source.suffix.lower() == ".mp4":
shutil.copyfile(source, destination)
return
subprocess.run(
[
"ffmpeg", "-y", "-i", str(source), "-an",
"-c:v", "libx264", "-pix_fmt", "yuv420p", str(destination),
],
check=True,
)
def main() -> None:
args = parse_args()
synchronized = args.recording / "synchronized_videos"
prepared_video = synchronized / "camera_0.mp4"
prepare_mp4(args.input, prepared_video)
# FreeMoCap 1.8.x exposes this stable headless entry point. Blender and the
# notebook are deliberately disabled: Tilt only needs its filtered body XYZ.
from freemocap.core_processes.process_motion_capture_videos.process_recording_headless import (
process_recording_headless,
)
from freemocap.data_layer.recording_models.post_processing_parameter_models import (
ProcessingParameterModel,
)
import cv2
capture = cv2.VideoCapture(str(prepared_video))
detected_fps = float(capture.get(cv2.CAP_PROP_FPS))
capture.release()
source_fps = detected_fps if detected_fps > 0 else args.fps
parameters = ProcessingParameterModel()
parameters.post_processing_parameters_model.framerate = source_fps
parameters.post_processing_parameters_model.butterworth_filter_parameters.sampling_rate = source_fps
# Preserve MediaPipe's monocular depth estimate; the default flattened mode
# throws that axis away before FreeMoCap's interpolation and rigid-bone pass.
parameters.anipose_triangulate_3d_parameters_model.flatten_single_camera_data = False
process_recording_headless(
recording_path=args.recording,
recording_processing_parameter_model=parameters,
run_blender=False,
make_jupyter_notebook=False,
use_tqdm=False,
)
result = args.recording / f"{args.recording.name}_by_frame.csv"
if not result.is_file():
matches = sorted(args.recording.glob("*_by_frame.csv"))
if not matches:
raise FileNotFoundError("FreeMoCap completed without producing a by-frame CSV")
result = matches[0]
args.output.parent.mkdir(parents=True, exist_ok=True)
shutil.copyfile(result, args.output)
args.metadata.write_text(json.dumps({"fps": source_fps}), encoding="utf-8")
if __name__ == "__main__":
main()
+7
View File
@@ -0,0 +1,7 @@
#!/bin/sh
set -eu
cd "$(dirname "$0")/.."
uv venv --python 3.12 .freemocap-venv
uv pip install --python .freemocap-venv/bin/python "freemocap==1.8.2"
.freemocap-venv/bin/python -c "import freemocap; print('FreeMoCap', freemocap.__version__, 'ready')"