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ArtLabss / tennis-tracking

Open-source Monocular Python HawkEye for Tennis
https://www.artlabs.tech
The Unlicense
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Help: error: (-212:Parsing error) Failed to parse NetParameter file: Yolov3/yolov3.weights in function 'readNetFromDarknet' #5

Closed jaweii closed 2 years ago

jaweii commented 2 years ago 
2021-09-22 07:22:45.863212: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0
fps : 30
2021-09-22 07:22:47.816475: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcuda.so.1
2021-09-22 07:22:47.837632: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-09-22 07:22:47.838418: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties: 
pciBusID: 0000:00:04.0 name: Tesla K80 computeCapability: 3.7
coreClock: 0.8235GHz coreCount: 13 deviceMemorySize: 11.17GiB deviceMemoryBandwidth: 223.96GiB/s
2021-09-22 07:22:47.838515: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0
2021-09-22 07:22:47.841400: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcublas.so.11
2021-09-22 07:22:47.841528: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcublasLt.so.11
2021-09-22 07:22:47.842627: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcufft.so.10
2021-09-22 07:22:47.842984: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcurand.so.10
2021-09-22 07:22:47.845648: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcusolver.so.11
2021-09-22 07:22:47.846309: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcusparse.so.11
2021-09-22 07:22:47.846562: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudnn.so.8
2021-09-22 07:22:47.846694: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-09-22 07:22:47.847449: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-09-22 07:22:47.848167: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1871] Adding visible gpu devices: 0
2021-09-22 07:22:47.848560: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2021-09-22 07:22:47.848854: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-09-22 07:22:47.849664: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties: 
pciBusID: 0000:00:04.0 name: Tesla K80 computeCapability: 3.7
coreClock: 0.8235GHz coreCount: 13 deviceMemorySize: 11.17GiB deviceMemoryBandwidth: 223.96GiB/s
2021-09-22 07:22:47.849820: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-09-22 07:22:47.850577: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-09-22 07:22:47.851298: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1871] Adding visible gpu devices: 0
2021-09-22 07:22:47.851385: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0
2021-09-22 07:22:48.399972: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1258] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-09-22 07:22:48.400039: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1264]      0 
2021-09-22 07:22:48.400070: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1277] 0:   N 
2021-09-22 07:22:48.400323: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-09-22 07:22:48.401158: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-09-22 07:22:48.402034: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-09-22 07:22:48.402750: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:39] Overriding allow_growth setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.
2021-09-22 07:22:48.402816: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1418] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10800 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 0000:00:04.0, compute capability: 3.7)
layer24 output shape: 256 360 640
Model: "model_1"
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
input_1 (InputLayer)         [(None, 3, 360, 640)]     0         
_________________________________________________________________
conv2d (Conv2D)              (None, 64, 360, 640)      1792      
_________________________________________________________________
activation (Activation)      (None, 64, 360, 640)      0         
_________________________________________________________________
batch_normalization (BatchNo (None, 64, 360, 640)      2560      
_________________________________________________________________
conv2d_1 (Conv2D)            (None, 64, 360, 640)      36928     
_________________________________________________________________
activation_1 (Activation)    (None, 64, 360, 640)      0         
_________________________________________________________________
batch_normalization_1 (Batch (None, 64, 360, 640)      2560      
_________________________________________________________________
max_pooling2d (MaxPooling2D) (None, 64, 180, 320)      0         
_________________________________________________________________
conv2d_2 (Conv2D)            (None, 128, 180, 320)     73856     
_________________________________________________________________
activation_2 (Activation)    (None, 128, 180, 320)     0         
_________________________________________________________________
batch_normalization_2 (Batch (None, 128, 180, 320)     1280      
_________________________________________________________________
conv2d_3 (Conv2D)            (None, 128, 180, 320)     147584    
_________________________________________________________________
activation_3 (Activation)    (None, 128, 180, 320)     0         
_________________________________________________________________
batch_normalization_3 (Batch (None, 128, 180, 320)     1280      
_________________________________________________________________
max_pooling2d_1 (MaxPooling2 (None, 128, 90, 160)      0         
_________________________________________________________________
conv2d_4 (Conv2D)            (None, 256, 90, 160)      295168    
_________________________________________________________________
activation_4 (Activation)    (None, 256, 90, 160)      0         
_________________________________________________________________
batch_normalization_4 (Batch (None, 256, 90, 160)      640       
_________________________________________________________________
conv2d_5 (Conv2D)            (None, 256, 90, 160)      590080    
_________________________________________________________________
activation_5 (Activation)    (None, 256, 90, 160)      0         
_________________________________________________________________
batch_normalization_5 (Batch (None, 256, 90, 160)      640       
_________________________________________________________________
conv2d_6 (Conv2D)            (None, 256, 90, 160)      590080    
_________________________________________________________________
activation_6 (Activation)    (None, 256, 90, 160)      0         
_________________________________________________________________
batch_normalization_6 (Batch (None, 256, 90, 160)      640       
_________________________________________________________________
max_pooling2d_2 (MaxPooling2 (None, 256, 45, 80)       0         
_________________________________________________________________
conv2d_7 (Conv2D)            (None, 512, 45, 80)       1180160   
_________________________________________________________________
activation_7 (Activation)    (None, 512, 45, 80)       0         
_________________________________________________________________
batch_normalization_7 (Batch (None, 512, 45, 80)       320       
_________________________________________________________________
conv2d_8 (Conv2D)            (None, 512, 45, 80)       2359808   
_________________________________________________________________
activation_8 (Activation)    (None, 512, 45, 80)       0         
_________________________________________________________________
batch_normalization_8 (Batch (None, 512, 45, 80)       320       
_________________________________________________________________
conv2d_9 (Conv2D)            (None, 512, 45, 80)       2359808   
_________________________________________________________________
activation_9 (Activation)    (None, 512, 45, 80)       0         
_________________________________________________________________
batch_normalization_9 (Batch (None, 512, 45, 80)       320       
_________________________________________________________________
up_sampling2d (UpSampling2D) (None, 512, 90, 160)      0         
_________________________________________________________________
conv2d_10 (Conv2D)           (None, 256, 90, 160)      1179904   
_________________________________________________________________
activation_10 (Activation)   (None, 256, 90, 160)      0         
_________________________________________________________________
batch_normalization_10 (Batc (None, 256, 90, 160)      640       
_________________________________________________________________
conv2d_11 (Conv2D)           (None, 256, 90, 160)      590080    
_________________________________________________________________
activation_11 (Activation)   (None, 256, 90, 160)      0         
_________________________________________________________________
batch_normalization_11 (Batc (None, 256, 90, 160)      640       
_________________________________________________________________
conv2d_12 (Conv2D)           (None, 256, 90, 160)      590080    
_________________________________________________________________
activation_12 (Activation)   (None, 256, 90, 160)      0         
_________________________________________________________________
batch_normalization_12 (Batc (None, 256, 90, 160)      640       
_________________________________________________________________
up_sampling2d_1 (UpSampling2 (None, 256, 180, 320)     0         
_________________________________________________________________
conv2d_13 (Conv2D)           (None, 128, 180, 320)     295040    
_________________________________________________________________
activation_13 (Activation)   (None, 128, 180, 320)     0         
_________________________________________________________________
batch_normalization_13 (Batc (None, 128, 180, 320)     1280      
_________________________________________________________________
conv2d_14 (Conv2D)           (None, 128, 180, 320)     147584    
_________________________________________________________________
activation_14 (Activation)   (None, 128, 180, 320)     0         
_________________________________________________________________
batch_normalization_14 (Batc (None, 128, 180, 320)     1280      
_________________________________________________________________
up_sampling2d_2 (UpSampling2 (None, 128, 360, 640)     0         
_________________________________________________________________
conv2d_15 (Conv2D)           (None, 64, 360, 640)      73792     
_________________________________________________________________
activation_15 (Activation)   (None, 64, 360, 640)      0         
_________________________________________________________________
batch_normalization_15 (Batc (None, 64, 360, 640)      2560      
_________________________________________________________________
conv2d_16 (Conv2D)           (None, 64, 360, 640)      36928     
_________________________________________________________________
activation_16 (Activation)   (None, 64, 360, 640)      0         
_________________________________________________________________
batch_normalization_16 (Batc (None, 64, 360, 640)      2560      
_________________________________________________________________
conv2d_17 (Conv2D)           (None, 256, 360, 640)     147712    
_________________________________________________________________
activation_17 (Activation)   (None, 256, 360, 640)     0         
_________________________________________________________________
batch_normalization_17 (Batc (None, 256, 360, 640)     2560      
_________________________________________________________________
reshape (Reshape)            (None, 256, 230400)       0         
_________________________________________________________________
permute (Permute)            (None, 230400, 256)       0         
_________________________________________________________________
activation_18 (Activation)   (None, 230400, 256)       0         
=================================================================
Total params: 10,719,104
Trainable params: 10,707,744
Non-trainable params: 11,360
_________________________________________________________________
2021-09-22 07:22:48.849317: W tensorflow/core/util/tensor_slice_reader.cc:95] Could not open WeightsTracknet/model.1: Data loss: not an sstable (bad magic number): perhaps your file is in a different file format and you need to use a different restore operator?
OpenCV: FFMPEG: tag 0x44495658/'XVID' is not supported with codec id 12 and format 'mp4 / MP4 (MPEG-4 Part 14)'
OpenCV: FFMPEG: fallback to use tag 0x7634706d/'mp4v'
Traceback (most recent call last):
  File "predict_video.py", line 87, in <module>
    net = cv2.dnn.readNet(yolo_weights, yolo_config)
cv2.error: OpenCV(4.1.2) /io/opencv/modules/dnn/src/darknet/darknet_importer.cpp:214: error: (-212:Parsing error) Failed to parse NetParameter file: Yolov3/yolov3.weights in function 'readNetFromDarknet'
shukkkur commented 2 years ago

@jaweii Download yolov3.weights and add to Yolov3 folder