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Scanning '/home/dk/k/jupyter_notebook/yolov7/data/pricetag/labels/val.cache' images and labels... 12 found, 0 missing, 0 empty, 0 corrupted: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 12/12 [00:00<?, ?it/s] INFO:openvino.tools.pot.pipeline.pipeline:Evaluation of generated model INFO:openvino.tools.pot.engines.ie_engine:Start inference of 12 images INFO:openvino.tools.pot.engines.ie_engine:2/12 batches are processed in 1.65s INFO:openvino.tools.pot.engines.ie_engine:4/12 batches are processed in 2.45s INFO:openvino.tools.pot.engines.ie_engine:6/12 batches are processed in 3.21s INFO:openvino.tools.pot.engines.ie_engine:8/12 batches are processed in 4.02s INFO:openvino.tools.pot.engines.ie_engine:10/12 batches are processed in 4.75s INFO:openvino.tools.pot.engines.ie_engine:12/12 batches are processed in 5.20s INFO:openvino.tools.pot.engines.ie_engine:Inference finished INFO:main:FP32 model metric_results: {'[email protected]': 0.9985057471264368, '[email protected]:0.95': 0.8776585313461791} INFO:openvino.tools.pot.pipeline.pipeline:Inference Engine version: 2022.1.0-7019-cdb9bec7210-releases/2022/1 INFO:openvino.tools.pot.pipeline.pipeline:Model Optimizer version: 2022.1.0-7019-cdb9bec7210-releases/2022/1 INFO:openvino.tools.pot.pipeline.pipeline:Post-Training Optimization Tool version: 2022.1.0-7019-cdb9bec7210-releases/2022/1 INFO:openvino.tools.pot.statistics.collector:Start computing statistics for algorithms : DefaultQuantization INFO:openvino.tools.pot.statistics.collector:Computing statistics finished INFO:openvino.tools.pot.pipeline.pipeline:Start algorithm: DefaultQuantization INFO:openvino.tools.pot.algorithms.quantization.default.algorithm:Start computing statistics for algorithm : ActivationChannelAlignment INFO:openvino.tools.pot.algorithms.quantization.default.algorithm:Computing statistics finished INFO:openvino.tools.pot.algorithms.quantization.default.algorithm:Start computing statistics for algorithms : MinMaxQuantization,FastBiasCorrection killed
================================================= follow your readme, i cant quantization my yolov7 model
The text was updated successfully, but these errors were encountered:
No branches or pull requests
Scanning '/home/dk/k/jupyter_notebook/yolov7/data/pricetag/labels/val.cache' images and labels... 12 found, 0 missing, 0 empty, 0 corrupted: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 12/12 [00:00<?, ?it/s]
INFO:openvino.tools.pot.pipeline.pipeline:Evaluation of generated model
INFO:openvino.tools.pot.engines.ie_engine:Start inference of 12 images
INFO:openvino.tools.pot.engines.ie_engine:2/12 batches are processed in 1.65s
INFO:openvino.tools.pot.engines.ie_engine:4/12 batches are processed in 2.45s
INFO:openvino.tools.pot.engines.ie_engine:6/12 batches are processed in 3.21s
INFO:openvino.tools.pot.engines.ie_engine:8/12 batches are processed in 4.02s
INFO:openvino.tools.pot.engines.ie_engine:10/12 batches are processed in 4.75s
INFO:openvino.tools.pot.engines.ie_engine:12/12 batches are processed in 5.20s
INFO:openvino.tools.pot.engines.ie_engine:Inference finished
INFO:main:FP32 model metric_results: {'[email protected]': 0.9985057471264368, '[email protected]:0.95': 0.8776585313461791}
INFO:openvino.tools.pot.pipeline.pipeline:Inference Engine version: 2022.1.0-7019-cdb9bec7210-releases/2022/1
INFO:openvino.tools.pot.pipeline.pipeline:Model Optimizer version: 2022.1.0-7019-cdb9bec7210-releases/2022/1
INFO:openvino.tools.pot.pipeline.pipeline:Post-Training Optimization Tool version: 2022.1.0-7019-cdb9bec7210-releases/2022/1
INFO:openvino.tools.pot.statistics.collector:Start computing statistics for algorithms : DefaultQuantization
INFO:openvino.tools.pot.statistics.collector:Computing statistics finished
INFO:openvino.tools.pot.pipeline.pipeline:Start algorithm: DefaultQuantization
INFO:openvino.tools.pot.algorithms.quantization.default.algorithm:Start computing statistics for algorithm : ActivationChannelAlignment
INFO:openvino.tools.pot.algorithms.quantization.default.algorithm:Computing statistics finished
INFO:openvino.tools.pot.algorithms.quantization.default.algorithm:Start computing statistics for algorithms : MinMaxQuantization,FastBiasCorrection
killed
=================================================
follow your readme, i cant quantization my yolov7 model
The text was updated successfully, but these errors were encountered: