openable webcam pipeline

This commit is contained in:
Siwat Sirichai 2025-02-23 20:58:48 +07:00
parent ee0071284e
commit e1da9a6dca
4 changed files with 101 additions and 50 deletions

36
app.py
View file

@ -60,6 +60,24 @@ WORKER_TIMEOUT_MS = 10000
streams_lock = threading.Lock()
models_lock = threading.Lock()
# Add helper to download mpta ZIP file from a remote URL
def download_mpta(url: str, dest_path: str) -> str:
try:
os.makedirs(os.path.dirname(dest_path), exist_ok=True)
response = requests.get(url, stream=True)
if response.status_code == 200:
with open(dest_path, "wb") as f:
for chunk in response.iter_content(chunk_size=8192):
f.write(chunk)
logging.info(f"Downloaded mpta file from {url} to {dest_path}")
return dest_path
else:
logging.error(f"Failed to download mpta file (status code {response.status_code})")
return None
except Exception as e:
logging.error(f"Exception downloading mpta file from {url}: {e}")
return None
####################################################
# Detection and frame processing functions
####################################################
@ -212,7 +230,7 @@ async def detect(websocket: WebSocket):
payload = data.get("payload", {})
camera_id = payload.get("cameraIdentifier")
rtsp_url = payload.get("rtspUrl")
model_url = payload.get("modelUrl") # ZIP file URL
model_url = payload.get("modelUrl") # may be remote or local
modelId = payload.get("modelId")
modelName = payload.get("modelName")
@ -221,12 +239,22 @@ async def detect(websocket: WebSocket):
if camera_id not in models:
models[camera_id] = {}
if modelId not in models[camera_id]:
logging.info(f"Downloading model from {model_url}")
logging.info(f"Loading model from {model_url}")
extraction_dir = os.path.join("models", camera_id, str(modelId))
os.makedirs(extraction_dir, exist_ok=True)
model_tree = load_pipeline_from_zip(model_url, extraction_dir)
# If model_url is remote, download it first.
parsed = urlparse(model_url)
if parsed.scheme in ("http", "https"):
local_mpta = os.path.join(extraction_dir, os.path.basename(parsed.path))
local_path = download_mpta(model_url, local_mpta)
if not local_path:
logging.error("Failed to download the remote mpta file.")
continue
model_tree = load_pipeline_from_zip(local_path, extraction_dir)
else:
model_tree = load_pipeline_from_zip(model_url, extraction_dir)
if model_tree is None:
logging.error("Failed to load model from ZIP file.")
logging.error("Failed to load model from mpta file.")
continue
models[camera_id][modelId] = model_tree
logging.info(f"Loaded model {modelId} for camera {camera_id}")