Pixellib некорректно выделяет объекты на изображении

Question

Я новичок, установил Pixellib и все зависимости. Переписал простой код из документации

from pixellib.instance import instance_segmentation

segment_image = instance_segmentation()
segment_image.load_model("mask_rcnn_coco.h5")
segment_image.segmentImage("sample2.jpg", output_image_name="image_new.jpg", show_bboxes=True)

Он должен получить изображение и выделить все объекты на нём. Код выполняется, но результат нерабочий

Программа также выводит вот это

2022-06-22 15:02:57.128963: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
2022-06-22 15:02:57.129228: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
WARNING:tensorflow:From C:\Users\Professional\Desktop\python_files\venv\lib\site-packages\tensorflow\python\util\deprecation.py:629: calling map_fn_v2 (from tensorflow.python.ops.map_fn) with dtype is deprecated and will be removed in a future version.
Instructions for updating:
Use fn_output_signature instead
2022-06-22 15:03:04.512059: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
2022-06-22 15:03:04.512746: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cublas64_11.dll'; dlerror: cublas64_11.dll not found
2022-06-22 15:03:04.513412: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cublasLt64_11.dll'; dlerror: cublasLt64_11.dll not found
2022-06-22 15:03:04.514078: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cufft64_10.dll'; dlerror: cufft64_10.dll not found
2022-06-22 15:03:04.514730: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'curand64_10.dll'; dlerror: curand64_10.dll not found
2022-06-22 15:03:04.515387: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cusolver64_11.dll'; dlerror: cusolver64_11.dll not found
2022-06-22 15:03:04.516070: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cusparse64_11.dll'; dlerror: cusparse64_11.dll not found
2022-06-22 15:03:04.516848: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudnn64_8.dll'; dlerror: cudnn64_8.dll not found
2022-06-22 15:03:04.517150: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1850] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
2022-06-22 15:03:06.334474: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2022-06-22 15:03:06.497847: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:354] MLIR V1 optimization pass is not enabled
C:\Users\Professional\Desktop\python_files\venv\lib\site-packages\keras\engine\training_v1.py:2067: UserWarning: `Model.state_updates` will be removed in a future version. This property should not be used in TensorFlow 2.0, as `updates` are applied automatically.
  updates=self.state_updates,
2022-06-22 15:03:10.108736: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:690] Error in PredictCost() for the op: op: "CropAndResize" attr { key: "T" value { type: DT_FLOAT } } attr { key: "extrapolation_value" value { f: 0 } } attr { key: "method" value { s: "bilinear" } } inputs { dtype: DT_FLOAT shape { dim { size: -48 } dim { size: -308 } dim { size: -309 } dim { size: 256 } } } inputs { dtype: DT_FLOAT shape { dim { size: -19 } dim { size: 4 } } } inputs { dtype: DT_INT32 shape { dim { size: -19 } } } inputs { dtype: DT_INT32 shape { dim { size: 2 } } value { dtype: DT_INT32 tensor_shape { dim { size: 2 } } int_val: 7 } } device { type: "CPU" vendor: "GenuineIntel" model: "110" frequency: 2592 num_cores: 12 environment { key: "cpu_instruction_set" value: "SSE, SSE2" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 32768 l2_cache_size: 262144 l3_cache_size: 12582912 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { size: -19 } dim { size: 7 } dim { size: 7 } dim { size: 256 } } }
2022-06-22 15:03:10.111151: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:690] Error in PredictCost() for the op: op: "CropAndResize" attr { key: "T" value { type: DT_FLOAT } } attr { key: "extrapolation_value" value { f: 0 } } attr { key: "method" value { s: "bilinear" } } inputs { dtype: DT_FLOAT shape { dim { size: -48 } dim { size: -298 } dim { size: -299 } dim { size: 256 } } } inputs { dtype: DT_FLOAT shape { dim { size: -22 } dim { size: 4 } } } inputs { dtype: DT_INT32 shape { dim { size: -22 } } } inputs { dtype: DT_INT32 shape { dim { size: 2 } } value { dtype: DT_INT32 tensor_shape { dim { size: 2 } } int_val: 7 } } device { type: "CPU" vendor: "GenuineIntel" model: "110" frequency: 2592 num_cores: 12 environment { key: "cpu_instruction_set" value: "SSE, SSE2" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 32768 l2_cache_size: 262144 l3_cache_size: 12582912 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { size: -22 } dim { size: 7 } dim { size: 7 } dim { size: 256 } } }
2022-06-22 15:03:10.112788: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:690] Error in PredictCost() for the op: op: "CropAndResize" attr { key: "T" value { type: DT_FLOAT } } attr { key: "extrapolation_value" value { f: 0 } } attr { key: "method" value { s: "bilinear" } } inputs { dtype: DT_FLOAT shape { dim { size: -48 } dim { size: -286 } dim { size: -287 } dim { size: 256 } } } inputs { dtype: DT_FLOAT shape { dim { size: -24 } dim { size: 4 } } } inputs { dtype: DT_INT32 shape { dim { size: -24 } } } inputs { dtype: DT_INT32 shape { dim { size: 2 } } value { dtype: DT_INT32 tensor_shape { dim { size: 2 } } int_val: 7 } } device { type: "CPU" vendor: "GenuineIntel" model: "110" frequency: 2592 num_cores: 12 environment { key: "cpu_instruction_set" value: "SSE, SSE2" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 32768 l2_cache_size: 262144 l3_cache_size: 12582912 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { size: -24 } dim { size: 7 } dim { size: 7 } dim { size: 256 } } }
2022-06-22 15:03:10.114583: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:690] Error in PredictCost() for the op: op: "CropAndResize" attr { key: "T" value { type: DT_FLOAT } } attr { key: "extrapolation_value" value { f: 0 } } attr { key: "method" value { s: "bilinear" } } inputs { dtype: DT_FLOAT shape { dim { size: -48 } dim { size: -272 } dim { size: -273 } dim { size: 256 } } } inputs { dtype: DT_FLOAT shape { dim { size: -26 } dim { size: 4 } } } inputs { dtype: DT_INT32 shape { dim { size: -26 } } } inputs { dtype: DT_INT32 shape { dim { size: 2 } } value { dtype: DT_INT32 tensor_shape { dim { size: 2 } } int_val: 7 } } device { type: "CPU" vendor: "GenuineIntel" model: "110" frequency: 2592 num_cores: 12 environment { key: "cpu_instruction_set" value: "SSE, SSE2" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 32768 l2_cache_size: 262144 l3_cache_size: 12582912 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { size: -26 } dim { size: 7 } dim { size: 7 } dim { size: 256 } } }
2022-06-22 15:03:10.119853: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:690] Error in PredictCost() for the op: op: "CropAndResize" attr { key: "T" value { type: DT_FLOAT } } attr { key: "extrapolation_value" value { f: 0 } } attr { key: "method" value { s: "bilinear" } } inputs { dtype: DT_FLOAT shape { dim { size: -48 } dim { size: -308 } dim { size: -309 } dim { size: 256 } } } inputs { dtype: DT_FLOAT shape { dim { size: -34 } dim { size: 4 } } } inputs { dtype: DT_INT32 shape { dim { size: -34 } } } inputs { dtype: DT_INT32 shape { dim { size: 2 } } value { dtype: DT_INT32 tensor_shape { dim { size: 2 } } int_val: 14 } } device { type: "CPU" vendor: "GenuineIntel" model: "110" frequency: 2592 num_cores: 12 environment { key: "cpu_instruction_set" value: "SSE, SSE2" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 32768 l2_cache_size: 262144 l3_cache_size: 12582912 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { size: -34 } dim { size: 14 } dim { size: 14 } dim { size: 256 } } }
2022-06-22 15:03:10.121326: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:690] Error in PredictCost() for the op: op: "CropAndResize" attr { key: "T" value { type: DT_FLOAT } } attr { key: "extrapolation_value" value { f: 0 } } attr { key: "method" value { s: "bilinear" } } inputs { dtype: DT_FLOAT shape { dim { size: -48 } dim { size: -298 } dim { size: -299 } dim { size: 256 } } } inputs { dtype: DT_FLOAT shape { dim { size: -36 } dim { size: 4 } } } inputs { dtype: DT_INT32 shape { dim { size: -36 } } } inputs { dtype: DT_INT32 shape { dim { size: 2 } } value { dtype: DT_INT32 tensor_shape { dim { size: 2 } } int_val: 14 } } device { type: "CPU" vendor: "GenuineIntel" model: "110" frequency: 2592 num_cores: 12 environment { key: "cpu_instruction_set" value: "SSE, SSE2" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 32768 l2_cache_size: 262144 l3_cache_size: 12582912 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { size: -36 } dim { size: 14 } dim { size: 14 } dim { size: 256 } } }
2022-06-22 15:03:10.123110: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:690] Error in PredictCost() for the op: op: "CropAndResize" attr { key: "T" value { type: DT_FLOAT } } attr { key: "extrapolation_value" value { f: 0 } } attr { key: "method" value { s: "bilinear" } } inputs { dtype: DT_FLOAT shape { dim { size: -48 } dim { size: -286 } dim { size: -287 } dim { size: 256 } } } inputs { dtype: DT_FLOAT shape { dim { size: -38 } dim { size: 4 } } } inputs { dtype: DT_INT32 shape { dim { size: -38 } } } inputs { dtype: DT_INT32 shape { dim { size: 2 } } value { dtype: DT_INT32 tensor_shape { dim { size: 2 } } int_val: 14 } } device { type: "CPU" vendor: "GenuineIntel" model: "110" frequency: 2592 num_cores: 12 environment { key: "cpu_instruction_set" value: "SSE, SSE2" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 32768 l2_cache_size: 262144 l3_cache_size: 12582912 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { size: -38 } dim { size: 14 } dim { size: 14 } dim { size: 256 } } }
2022-06-22 15:03:10.124839: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:690] Error in PredictCost() for the op: op: "CropAndResize" attr { key: "T" value { type: DT_FLOAT } } attr { key: "extrapolation_value" value { f: 0 } } attr { key: "method" value { s: "bilinear" } } inputs { dtype: DT_FLOAT shape { dim { size: -48 } dim { size: -272 } dim { size: -273 } dim { size: 256 } } } inputs { dtype: DT_FLOAT shape { dim { size: -40 } dim { size: 4 } } } inputs { dtype: DT_INT32 shape { dim { size: -40 } } } inputs { dtype: DT_INT32 shape { dim { size: 2 } } value { dtype: DT_INT32 tensor_shape { dim { size: 2 } } int_val: 14 } } device { type: "CPU" vendor: "GenuineIntel" model: "110" frequency: 2592 num_cores: 12 environment { key: "cpu_instruction_set" value: "SSE, SSE2" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 32768 l2_cache_size: 262144 l3_cache_size: 12582912 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { size: -40 } dim { size: 14 } dim { size: 14 } dim { size: 256 } } }
Processed image saved successfully in your current working directory.

Process finished with exit code 0

Что может быть причиной такого поведения и возможно ли это исправить?

БЛОГ НА HUSL

Pixellib некорректно выделяет объекты на изображении

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