runtime error

Exit code: 1. Reason: 2025-10-04 20:18:06.697168: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2025-10-04 20:18:06.746586: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2025-10-04 20:18:08.234379: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. Creating new Ultralytics Settings v0.0.6 file ✅ View Ultralytics Settings with 'yolo settings' or at '/root/.config/Ultralytics/settings.json' Update Settings with 'yolo settings key=value', i.e. 'yolo settings runs_dir=path/to/dir'. For help see https://docs.ultralytics.com/quickstart/#ultralytics-settings. Downloading models/yolov3_testing.cfg... Downloading models/yolov3_training_2000.weights... 2025-10-04 20:18:12.851500: E external/local_xla/xla/stream_executor/cuda/cuda_platform.cc:51] failed call to cuInit: INTERNAL: CUDA error: Failed call to cuInit: UNKNOWN ERROR (303) WARNING:absl:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model. Traceback (most recent call last): File "/app/app.py", line 42, in <module> weapon_net = cv2.dnn.readNetFromDarknet(weapon_cfg_path, weapon_weights_path) cv2.error: OpenCV(4.12.0) /io/opencv/modules/dnn/src/darknet/darknet_io.cpp:705: error: (-215:Assertion failed) separator_index < line.size() in function 'ReadDarknetFromCfgStream'

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