Spaces:
Running
on
Zero
Running
on
Zero
Update core/process.py
Browse files- core/process.py +35 -0
core/process.py
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import logging
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import time
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import timeout_decorator
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@timeout_decorator.timeout(35, use_signals=False) # 35 sec limit per image
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def process_image(
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import logging
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import time
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import timeout_decorator
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import io
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import zipfile
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import json
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import cv2
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from PIL import Image
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from registry import get_model
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from core.describe_scene import describe_scene
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from utils.helpers import generate_session_id, log_runtime
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# Setup logging
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
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logger = logging.getLogger(__name__)
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# Model mappings
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DETECTION_MODEL_MAP = {
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"YOLOv5-Nano": "yolov5n-seg",
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"YOLOv5-Small": "yolov5s-seg",
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"YOLOv8-Small": "yolov8s",
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"YOLOv8-Large": "yolov8l",
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"RT-DETR": "rtdetr" # For future support
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}
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SEGMENTATION_MODEL_MAP = {
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"SegFormer-B0": "nvidia/segformer-b0-finetuned-ade-512-512",
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"SegFormer-B5": "nvidia/segformer-b5-finetuned-ade-512-512",
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"DeepLabV3-ResNet50": "deeplabv3_resnet50"
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}
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DEPTH_MODEL_MAP = {
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"MiDaS v21 Small 256": "midas_v21_small_256",
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"MiDaS v21 384": "midas_v21_384",
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"DPT Hybrid 384": "dpt_hybrid_384",
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"DPT Swin2 Large 384": "dpt_swin2_large_384",
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"DPT Beit Large 512": "dpt_beit_large_512"
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}
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@timeout_decorator.timeout(35, use_signals=False) # 35 sec limit per image
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def process_image(
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