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- Ultralytics 8.4.21 Python-3.12.6 torch-2.9.1+cpu CPU (12th Gen Intel Core i5-12500)
- WARNING 'nms=True' is not available for end2end models. Forcing 'nms=False'.
- YOLO26n summary (fused): 122 layers, 2,376,006 parameters, 0 gradients, 5.2 GFLOPs
- [34m[1mPyTorch:[0m starting from 'best.pt' with input shape (1, 3, 640, 640) BCHW and output shape(s) (1, 300, 6) (14.8 MB)
- [34m[1mTensorFlow SavedModel:[0m starting export with tensorflow 2.19.1...
- [34m[1mTensorFlow SavedModel:[0m collecting INT8 calibration images from 'data=unified_dataset/data.yaml'
- Fast image access (ping: 0.10.1 ms, read: 181.197.3 MB/s, size: 81.4 KB)
- [KScanning E:\Task\Research and Development\palm-oil-ai\unified_dataset\labels\val.cache... 2756 images, 0 backgrounds, 0 corrupt: 100% ΓöüΓöüΓöüΓöüΓöüΓöüΓöüΓöüΓöüΓöüΓöüΓöü 2756/2756 0.0s
- [34m[1mval: [0mE:\Task\Research and Development\palm-oil-ai\unified_dataset\images\val\suharjito_dataset_framesawit27--11-_png.rf.78949fb137da444431f25b2a8c330315.jpg: 1 duplicate labels removed
- [34m[1mval: [0mE:\Task\Research and Development\palm-oil-ai\unified_dataset\images\val\suharjito_dataset_frameterlalumasak12--3-_png.rf.14cc4ac1908d88702451ec53d52c5f35.jpg: 1 duplicate labels removed
- WARNING Box and segment counts should be equal, but got len(segments) = 165, len(boxes) = 7378. To resolve this only boxes will be used and all segments will be removed. To avoid this please supply either a detect or segment dataset, not a detect-segment mixed dataset.
- [34m[1mONNX:[0m starting export with onnx 1.20.1 opset 22...
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- At line:1 char:1
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- et9.py:5353:
- UserWarning: Exporting
- aten::index operator
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- [34m[1mONNX:[0m slimming with onnxslim 0.1.87...
- [34m[1mONNX:[0m export success 5.2s, saved as 'best.onnx' (9.5 MB)
- [KDownloading https://github.com/ultralytics/assets/releases/download/v8.4.0/calibration_image_sample_data_20x128x128x3_float32.npy.zip to 'calibration_image_sample_data_20x128x128x3_float32.npy.zip': 4% ΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇ 40.0KB/1.1MB 60.3KB/s 0.2s<18.2s
- [KDownloading https://github.com/ultralytics/assets/releases/download/v8.4.0/calibration_image_sample_data_20x128x128x3_float32.npy.zip to 'calibration_image_sample_data_20x128x128x3_float32.npy.zip': 9% ΓöüΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇ 104.0KB/1.1MB 140.9KB/s 0.4s<7.3s
- [KDownloading https://github.com/ultralytics/assets/releases/download/v8.4.0/calibration_image_sample_data_20x128x128x3_float32.npy.zip to 'calibration_image_sample_data_20x128x128x3_float32.npy.zip': 20% ΓöüΓöüΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇ 232.0KB/1.1MB 302.9KB/s 0.6s<3.0s
- [KDownloading https://github.com/ultralytics/assets/releases/download/v8.4.0/calibration_image_sample_data_20x128x128x3_float32.npy.zip to 'calibration_image_sample_data_20x128x128x3_float32.npy.zip': 37% ΓöüΓöüΓöüΓöüΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇ 424.0KB/1.1MB 1.8MB/s 0.7s<0.4s
- [KDownloading https://github.com/ultralytics/assets/releases/download/v8.4.0/calibration_image_sample_data_20x128x128x3_float32.npy.zip to 'calibration_image_sample_data_20x128x128x3_float32.npy.zip': 44% ΓöüΓöüΓöüΓöüΓöüΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇ 504.0KB/1.1MB 432.8KB/s 0.8s<1.5s
- [KDownloading https://github.com/ultralytics/assets/releases/download/v8.4.0/calibration_image_sample_data_20x128x128x3_float32.npy.zip to 'calibration_image_sample_data_20x128x128x3_float32.npy.zip': 82% ΓöüΓöüΓöüΓöüΓöüΓöüΓöüΓöüΓöüΓò╕ΓöÇΓöÇ 936.0KB/1.1MB 4.0MB/s 0.9s<0.0s
- [KDownloading https://github.com/ultralytics/assets/releases/download/v8.4.0/calibration_image_sample_data_20x128x128x3_float32.npy.zip to 'calibration_image_sample_data_20x128x128x3_float32.npy.zip': 96% ΓöüΓöüΓöüΓöüΓöüΓöüΓöüΓöüΓöüΓöüΓöüΓò╕ 1.1/1.1MB 1.5MB/s 1.0s<0.0s
- [KDownloading https://github.com/ultralytics/assets/releases/download/v8.4.0/calibration_image_sample_data_20x128x128x3_float32.npy.zip to 'calibration_image_sample_data_20x128x128x3_float32.npy.zip': 100% ΓöüΓöüΓöüΓöüΓöüΓöüΓöüΓöüΓöüΓöüΓöüΓöü 1.1MB 1.1MB/s 1.0s
- [KUnzipping calibration_image_sample_data_20x128x128x3_float32.npy.zip to E:\Task\Research and Development\palm-oil-ai\calibration_image_sample_data_20x128x128x3_float32.npy...: 100% ΓöüΓöüΓöüΓöüΓöüΓöüΓöüΓöüΓöüΓöüΓöüΓöü 1/1 38.3files/s 0.0s
- WARNING:tensorflow:From
- C:\Users\enzo\AppData\
- Roaming\Python\Python31
- 2\site-packages\tf_kera
- s\src\losses.py:2976:
- The name tf.losses.spar
- se_softmax_cross_entrop
- y is deprecated.
- Please use tf.compat.v1
- .losses.sparse_softmax_
- cross_entropy instead.
- [34m[1mTensorFlow SavedModel:[0m starting TFLite export with onnx2tf 1.28.8...
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