icdd-vsumm/main.py

import os
import h5py
import uvicorn
import ffmpeg

from pathlib                    import Path
from fastapi                    import FastAPI, UploadFile, Form, File, Header
from fastapi.responses          import StreamingResponse
from fastapi.middleware.cors    import CORSMiddleware
from fastapi.staticfiles        import StaticFiles
from config                     import ServerConfig
from dsnet                      import *


app = FastAPI()
app.mount('/home', StaticFiles(directory='static', html=True), name='static')
app.add_middleware(
    CORSMiddleware,
    allow_origins=['*'],
    allow_credentials=True,
    allow_methods=['*'],
    allow_headers=['*'],
)


video_preprocessor = VideoPreprocessor()
dsnet_af           = DSNetAF(1024, 128, 8).to(DSNetConfig.device)
dsnet_af.load_state_dict(torch.load(ServerConfig.weights_dsnet_af, map_location=lambda storage, loc: storage))


@app.post('/upload')
async def upload_file(file: UploadFile = File(...)):
    video_name = os.path.splitext(file.filename)[0]
    video_path = os.path.join(ServerConfig.videos_upload_path, video_name + '.mp4')
    with open(video_path, 'wb') as video:
        video.write(await file.read())
    return {'status': 200, 'id': video_name}


@app.get("/fetch/{id}")
async def fetch_file(id: str, range: str = Header(None)) -> StreamingResponse:
    video_path = Path(os.path.join(ServerConfig.videos_play_path, id + '.mp4'))
    video_size = video_path.stat().st_size
    start      = 0
    end        = video_size - 1
    chunk_size = min(video_size, ServerConfig.videos_chunk_size)
    status     = 200
    headers    = { 
                    'Content-Type': 'video/mp4', 
                    'Content-Disposition': f'attachment; filename="{id}.mp4"',
                 }
    if range:
        start, end  = range.replace('bytes=', '').split('-')
        start       = int(start)
        end         = int(end) if end else video_size - 1
        chunk_size  = min(end - start + 1, ServerConfig.videos_chunk_size)
        status      = 206
        headers['Content-Range']       = f'bytes {start}-{end}/{video_size}'
        headers['Accept-Ranges']       = 'bytes'
        headers['Content-Disposition'] = 'inline'
    def file_reader():
        with open(video_path, 'rb') as video:
            video.seek(start)
            while True:
                data = video.read(chunk_size)
                if not data:
                    break
                yield data
    return StreamingResponse(file_reader(), status_code=status, headers=headers, media_type='video/mp4')


@app.post('/extract')
async def extract_file(id: str = Form(...)):
    video_source_path = os.path.join(ServerConfig.videos_upload_path, id + '.mp4')
    data_target_path = os.path.join(ServerConfig.h5s_root_path, id + '.h5')
    with h5py.File(data_target_path, 'a') as data:
        if id not in data:
            n_frames, seq, cps, nfps, picks = video_preprocessor.run(video_source_path)
            data.create_dataset(f'{id}/features', data=seq)
            data.create_dataset(f'{id}/change_points', data=cps)
            data.create_dataset(f'{id}/n_frame_per_seg', data=nfps)
            data.create_dataset(f'{id}/n_frames', data=n_frames)
            data.create_dataset(f'{id}/picks', data=picks)
    return {'status': 200, 'id': id}


@app.post('/analyse')
async def analyse_file(id: str = Form(...)):
    data_path = os.path.join(ServerConfig.h5s_root_path, id + '.h5')
    pred_summ = None
    with h5py.File(data_path, 'r') as data:
        if 'vsumm' not in data[id]:
            seq         = data[id]['features'][...].astype(np.float32)
            cps         = data[id]['change_points'][...].astype(np.int32)
            nfps        = data[id]['n_frame_per_seg'][...].astype(np.int32)
            n_frames    = data[id]['n_frames'][...].astype(np.int32)
            picks       = data[id]['picks'][...].astype(np.int32)
            with torch.no_grad():
                seq_torch = torch.from_numpy(seq).unsqueeze(0).to(DSNetConfig.device)
                pred_cls, pred_bboxes = dsnet_af.predict(seq_torch)
                pred_bboxes = np.clip(pred_bboxes, 0, len(seq)).round().astype(np.int32)
                pred_cls, pred_bboxes = nms(pred_cls, pred_bboxes, DSNetConfig.nms_thresh)
                pred_summ = bbox2summary(len(seq), pred_cls, pred_bboxes, cps, n_frames, nfps, picks)
    if pred_summ is not None:
        with h5py.File(data_path, 'a') as data:
            data.create_dataset(f'{id}/vsumm', data=pred_summ)
    return {'status': 200, 'id': id}


@app.post('/generate')
async def generate_file(id: str = Form(...)):
    origin_video_path = os.path.join(ServerConfig.videos_upload_path, id + '.mp4')
    target_video_path = os.path.join(ServerConfig.videos_play_path, id + '.mpeg4.mp4')
    final_video_path  = os.path.join(ServerConfig.videos_play_path, id + '.mp4')
    data_path = os.path.join(ServerConfig.h5s_root_path, id + '.h5')
    with h5py.File(data_path, 'r') as data:
        vsumm = data[id]['vsumm'][...].astype(np.bool_)
    cap = cv.VideoCapture(origin_video_path)
    width = int(cap.get(cv.CAP_PROP_FRAME_WIDTH))
    height = int(cap.get(cv.CAP_PROP_FRAME_HEIGHT))
    fps = cap.get(cv.CAP_PROP_FPS)

    fourcc = cv.VideoWriter.fourcc(*'MP4V')
    out = cv.VideoWriter(target_video_path, fourcc, fps, (width, height))

    frame_idx = 0
    while True:
        ret, frame = cap.read()
        if not ret:
            break
        if vsumm[frame_idx]:
            out.write(frame)

        frame_idx += 1
    out.release()
    cap.release()

    ffmpeg.input(target_video_path, format='mp4', vcodec='mpeg4').output(final_video_path, format='mp4', vcodec='h264').run()
    return {'status': 200, 'id': id}


if __name__ == "__main__":
    uvicorn.run(app=app)