!python3 models/tf.py --weights yolov5s.pt --cfg models/yolov5s.yaml --tfl-int8 --no-tfl-detect --img 320 --tf-raw-resize --source /content/yolov5/data/coco128.yaml --ncalib 200 -------------------------------------------------------------------------------------------------------------------------------------------------------- (output log) Namespace(batch_size=1, cfg='models/yolov5s.yaml', dynamic_batch_size=False, img_size=[320, 320], iou_thres=0.5, ncalib=200, no_tfl_detect=True, score_thres=0.4, source='/content/yolov5/data/coco128.yaml', tf_nms=False, tf_raw_resize=True, tfl_int8=True, topk_all=100, topk_per_class=100, weights='yolov5s.pt') /usr/local/lib/python3.7/dist-packages/torch/nn/functional.py:718: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /pytorch/c10/core/TensorImpl.h:1156.) return torch.max_pool2d(input, kernel_size, stride, padding, dilation, ceil_mode) Starting TensorFlow saved_model export with TensorFlow 2.6.0... 2021-08-25 08:09:23.542012: 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 2021-08-25 08:09:23.555223: 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 2021-08-25 08:09:23.555967: 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 2021-08-25 08:09:23.557245: 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 2021-08-25 08:09:23.558037: 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 2021-08-25 08:09:23.558768: 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 2021-08-25 08:09:24.040946: 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 2021-08-25 08:09:24.041817: 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 2021-08-25 08:09:24.042635: 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 2021-08-25 08:09:24.043336: 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. 2021-08-25 08:09:24.043397: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1510] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 10819 MB memory: -> device: 0, name: Tesla K80, pci bus id: 0000:00:04.0, compute capability: 3.7 2021-08-25 08:09:24.647737: I tensorflow/stream_executor/cuda/cuda_dnn.cc:369] Loaded cuDNN version 8004 Model: "model" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== input_1 (InputLayer) [(1, 320, 320, 3)] 0 __________________________________________________________________________________________________ tf__focus (tf_Focus) (1, 160, 160, 32) 3584 input_1[0][0] __________________________________________________________________________________________________ tf__conv_1 (tf_Conv) (1, 80, 80, 64) 18688 tf__focus[0][0] __________________________________________________________________________________________________ tf__c3 (tf_C3) (1, 80, 80, 64) 19200 tf__conv_1[0][0] __________________________________________________________________________________________________ tf__conv_7 (tf_Conv) (1, 40, 40, 128) 74240 tf__c3[0][0] __________________________________________________________________________________________________ tf__c3_1 (tf_C3) (1, 40, 40, 128) 158208 tf__conv_7[0][0] __________________________________________________________________________________________________ tf__conv_17 (tf_Conv) (1, 20, 20, 256) 295936 tf__c3_1[0][0] __________________________________________________________________________________________________ tf__c3_2 (tf_C3) (1, 20, 20, 256) 627712 tf__conv_17[0][0] __________________________________________________________________________________________________ tf__conv_27 (tf_Conv) (1, 10, 10, 512) 1181696 tf__c3_2[0][0] __________________________________________________________________________________________________ tf_spp (tf_SPP) (1, 10, 10, 512) 658432 tf__conv_27[0][0] __________________________________________________________________________________________________ tf__c3_3 (tf_C3) (1, 10, 10, 512) 1185792 tf_spp[0][0] __________________________________________________________________________________________________ tf__conv_35 (tf_Conv) (1, 10, 10, 256) 132096 tf__c3_3[0][0] __________________________________________________________________________________________________ tf__upsample (tf_Upsample) (1, 20, 20, 256) 0 tf__conv_35[0][0] __________________________________________________________________________________________________ tf__concat (tf_Concat) (1, 20, 20, 512) 0 tf__upsample[0][0] tf__c3_2[0][0] __________________________________________________________________________________________________ tf__c3_4 (tf_C3) (1, 20, 20, 256) 363520 tf__concat[0][0] __________________________________________________________________________________________________ tf__conv_41 (tf_Conv) (1, 20, 20, 128) 33280 tf__c3_4[0][0] __________________________________________________________________________________________________ tf__upsample_1 (tf_Upsample) (1, 40, 40, 128) 0 tf__conv_41[0][0] __________________________________________________________________________________________________ tf__concat_1 (tf_Concat) (1, 40, 40, 256) 0 tf__upsample_1[0][0] tf__c3_1[0][0] __________________________________________________________________________________________________ tf__c3_5 (tf_C3) (1, 40, 40, 128) 91648 tf__concat_1[0][0] __________________________________________________________________________________________________ tf__conv_47 (tf_Conv) (1, 20, 20, 128) 147968 tf__c3_5[0][0] __________________________________________________________________________________________________ tf__concat_2 (tf_Concat) (1, 20, 20, 256) 0 tf__conv_47[0][0] tf__conv_41[0][0] __________________________________________________________________________________________________ tf__c3_6 (tf_C3) (1, 20, 20, 256) 297984 tf__concat_2[0][0] __________________________________________________________________________________________________ tf__conv_53 (tf_Conv) (1, 10, 10, 256) 590848 tf__c3_6[0][0] __________________________________________________________________________________________________ tf__concat_3 (tf_Concat) (1, 10, 10, 512) 0 tf__conv_53[0][0] tf__conv_35[0][0] __________________________________________________________________________________________________ tf__c3_7 (tf_C3) (1, 10, 10, 512) 1185792 tf__concat_3[0][0] __________________________________________________________________________________________________ tf__detect (tf_Detect) ((1, 6300, 85), [(1, 229245 tf__c3_5[0][0] tf__c3_6[0][0] tf__c3_7[0][0] ================================================================================================== Total params: 7,295,869 Trainable params: 7,276,605 Non-trainable params: 19,264 __________________________________________________________________________________________________ WARNING:tensorflow: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. 2021-08-25 08:09:40.766613: W tensorflow/python/util/util.cc:348] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them. WARNING:absl:Found untraced functions such as tf__conv_layer_call_fn, tf__conv_layer_call_and_return_conditional_losses, tf_bn_1_layer_call_fn, tf_bn_1_layer_call_and_return_conditional_losses, tf__conv_2_layer_call_fn while saving (showing 5 of 845). These functions will not be directly callable after loading. TensorFlow saved_model export success, saved as yolov5s_saved_model Starting TensorFlow GraphDef export with TensorFlow 2.6.0... 2021-08-25 08:10:20.141032: 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 2021-08-25 08:10:20.141722: I tensorflow/core/grappler/devices.cc:66] Number of eligible GPUs (core count >= 8, compute capability >= 0.0): 1 2021-08-25 08:10:20.141889: I tensorflow/core/grappler/clusters/single_machine.cc:357] Starting new session 2021-08-25 08:10:20.142304: 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 2021-08-25 08:10:20.143103: 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 2021-08-25 08:10:20.143816: 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 2021-08-25 08:10:20.144705: 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 2021-08-25 08:10:20.145402: 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 2021-08-25 08:10:20.146095: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1510] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 10819 MB memory: -> device: 0, name: Tesla K80, pci bus id: 0000:00:04.0, compute capability: 3.7 2021-08-25 08:10:20.162572: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:1137] Optimization results for grappler item: graph_to_optimize function_optimizer: function_optimizer did nothing. time = 0.009ms. function_optimizer: function_optimizer did nothing. time = 0.001ms. TensorFlow GraphDef export success, saved as yolov5s.pb Starting TFLite export with TensorFlow 2.6.0... Don't export Detect module WARNING:tensorflow: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. WARNING:tensorflow: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. WARNING:absl:Found untraced functions such as tf__conv_layer_call_fn, tf__conv_layer_call_and_return_conditional_losses, tf_bn_1_layer_call_fn, tf_bn_1_layer_call_and_return_conditional_losses, tf__conv_2_layer_call_fn while saving (showing 5 of 845). These functions will not be directly callable after loading. 2021-08-25 08:11:14.106240: 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 2021-08-25 08:11:14.107058: I tensorflow/core/grappler/devices.cc:66] Number of eligible GPUs (core count >= 8, compute capability >= 0.0): 1 2021-08-25 08:11:14.107199: I tensorflow/core/grappler/clusters/single_machine.cc:357] Starting new session 2021-08-25 08:11:14.107625: 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 2021-08-25 08:11:14.108341: 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 2021-08-25 08:11:14.109026: 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 2021-08-25 08:11:14.109871: 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 2021-08-25 08:11:14.110524: 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 2021-08-25 08:11:14.111136: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1510] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 10819 MB memory: -> device: 0, name: Tesla K80, pci bus id: 0000:00:04.0, compute capability: 3.7 2021-08-25 08:11:14.125730: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:1137] Optimization results for grappler item: graph_to_optimize function_optimizer: function_optimizer did nothing. time = 0.007ms. function_optimizer: function_optimizer did nothing. time = 0.002ms. 2021-08-25 08:11:15.932867: W tensorflow/compiler/mlir/lite/python/tf_tfl_flatbuffer_helpers.cc:351] Ignored output_format. 2021-08-25 08:11:15.932945: W tensorflow/compiler/mlir/lite/python/tf_tfl_flatbuffer_helpers.cc:354] Ignored drop_control_dependency. 2021-08-25 08:11:16.000258: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:210] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable. 2021-08-25 08:11:16.223202: I tensorflow/compiler/mlir/lite/flatbuffer_export.cc:1899] Estimated count of arithmetic ops: 4.652 G ops, equivalently 2.326 G MACs TFLite export success, saved as yolov5s-fp16.tflite WARNING:tensorflow: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. WARNING:tensorflow: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. WARNING:absl:Found untraced functions such as tf__conv_layer_call_fn, tf__conv_layer_call_and_return_conditional_losses, tf_bn_1_layer_call_fn, tf_bn_1_layer_call_and_return_conditional_losses, tf__conv_2_layer_call_fn while saving (showing 5 of 845). These functions will not be directly callable after loading. 2021-08-25 08:12:08.536651: 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 2021-08-25 08:12:08.537365: I tensorflow/core/grappler/devices.cc:66] Number of eligible GPUs (core count >= 8, compute capability >= 0.0): 1 2021-08-25 08:12:08.537485: I tensorflow/core/grappler/clusters/single_machine.cc:357] Starting new session 2021-08-25 08:12:08.537988: 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 2021-08-25 08:12:08.538764: 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 2021-08-25 08:12:08.539522: 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 2021-08-25 08:12:08.540317: 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 2021-08-25 08:12:08.541082: 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 2021-08-25 08:12:08.541740: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1510] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 10819 MB memory: -> device: 0, name: Tesla K80, pci bus id: 0000:00:04.0, compute capability: 3.7 2021-08-25 08:12:08.557492: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:1137] Optimization results for grappler item: graph_to_optimize function_optimizer: function_optimizer did nothing. time = 0.02ms. function_optimizer: function_optimizer did nothing. time = 0.002ms. 2021-08-25 08:12:10.419551: W tensorflow/compiler/mlir/lite/python/tf_tfl_flatbuffer_helpers.cc:351] Ignored output_format. 2021-08-25 08:12:10.419696: W tensorflow/compiler/mlir/lite/python/tf_tfl_flatbuffer_helpers.cc:354] Ignored drop_control_dependency. 2021-08-25 08:12:10.732292: I tensorflow/compiler/mlir/lite/flatbuffer_export.cc:1899] Estimated count of arithmetic ops: 4.652 G ops, equivalently 2.326 G MACs image 1/128 /content/yolov5/../coco128/images/train2017/000000000009.jpg: image 2/128 /content/yolov5/../coco128/images/train2017/000000000025.jpg: image 3/128 /content/yolov5/../coco128/images/train2017/000000000030.jpg: image 4/128 /content/yolov5/../coco128/images/train2017/000000000034.jpg: image 5/128 /content/yolov5/../coco128/images/train2017/000000000036.jpg: image 6/128 /content/yolov5/../coco128/images/train2017/000000000042.jpg: image 7/128 /content/yolov5/../coco128/images/train2017/000000000049.jpg: image 8/128 /content/yolov5/../coco128/images/train2017/000000000061.jpg: image 9/128 /content/yolov5/../coco128/images/train2017/000000000064.jpg: image 10/128 /content/yolov5/../coco128/images/train2017/000000000071.jpg: image 11/128 /content/yolov5/../coco128/images/train2017/000000000072.jpg: image 12/128 /content/yolov5/../coco128/images/train2017/000000000073.jpg: image 13/128 /content/yolov5/../coco128/images/train2017/000000000074.jpg: image 14/128 /content/yolov5/../coco128/images/train2017/000000000077.jpg: image 15/128 /content/yolov5/../coco128/images/train2017/000000000078.jpg: image 16/128 /content/yolov5/../coco128/images/train2017/000000000081.jpg: image 17/128 /content/yolov5/../coco128/images/train2017/000000000086.jpg: image 18/128 /content/yolov5/../coco128/images/train2017/000000000089.jpg: image 19/128 /content/yolov5/../coco128/images/train2017/000000000092.jpg: image 20/128 /content/yolov5/../coco128/images/train2017/000000000094.jpg: image 21/128 /content/yolov5/../coco128/images/train2017/000000000109.jpg: image 22/128 /content/yolov5/../coco128/images/train2017/000000000110.jpg: image 23/128 /content/yolov5/../coco128/images/train2017/000000000113.jpg: image 24/128 /content/yolov5/../coco128/images/train2017/000000000127.jpg: image 25/128 /content/yolov5/../coco128/images/train2017/000000000133.jpg: image 26/128 /content/yolov5/../coco128/images/train2017/000000000136.jpg: image 27/128 /content/yolov5/../coco128/images/train2017/000000000138.jpg: image 28/128 /content/yolov5/../coco128/images/train2017/000000000142.jpg: image 29/128 /content/yolov5/../coco128/images/train2017/000000000143.jpg: image 30/128 /content/yolov5/../coco128/images/train2017/000000000144.jpg: image 31/128 /content/yolov5/../coco128/images/train2017/000000000149.jpg: image 32/128 /content/yolov5/../coco128/images/train2017/000000000151.jpg: image 33/128 /content/yolov5/../coco128/images/train2017/000000000154.jpg: image 34/128 /content/yolov5/../coco128/images/train2017/000000000164.jpg: image 35/128 /content/yolov5/../coco128/images/train2017/000000000165.jpg: image 36/128 /content/yolov5/../coco128/images/train2017/000000000192.jpg: image 37/128 /content/yolov5/../coco128/images/train2017/000000000194.jpg: image 38/128 /content/yolov5/../coco128/images/train2017/000000000196.jpg: image 39/128 /content/yolov5/../coco128/images/train2017/000000000201.jpg: image 40/128 /content/yolov5/../coco128/images/train2017/000000000208.jpg: image 41/128 /content/yolov5/../coco128/images/train2017/000000000241.jpg: image 42/128 /content/yolov5/../coco128/images/train2017/000000000247.jpg: image 43/128 /content/yolov5/../coco128/images/train2017/000000000250.jpg: image 44/128 /content/yolov5/../coco128/images/train2017/000000000257.jpg: image 45/128 /content/yolov5/../coco128/images/train2017/000000000260.jpg: image 46/128 /content/yolov5/../coco128/images/train2017/000000000263.jpg: image 47/128 /content/yolov5/../coco128/images/train2017/000000000283.jpg: image 48/128 /content/yolov5/../coco128/images/train2017/000000000294.jpg: image 49/128 /content/yolov5/../coco128/images/train2017/000000000307.jpg: image 50/128 /content/yolov5/../coco128/images/train2017/000000000308.jpg: image 51/128 /content/yolov5/../coco128/images/train2017/000000000309.jpg: image 52/128 /content/yolov5/../coco128/images/train2017/000000000312.jpg: image 53/128 /content/yolov5/../coco128/images/train2017/000000000315.jpg: image 54/128 /content/yolov5/../coco128/images/train2017/000000000321.jpg: image 55/128 /content/yolov5/../coco128/images/train2017/000000000322.jpg: image 56/128 /content/yolov5/../coco128/images/train2017/000000000326.jpg: image 57/128 /content/yolov5/../coco128/images/train2017/000000000328.jpg: image 58/128 /content/yolov5/../coco128/images/train2017/000000000332.jpg: image 59/128 /content/yolov5/../coco128/images/train2017/000000000338.jpg: image 60/128 /content/yolov5/../coco128/images/train2017/000000000349.jpg: image 61/128 /content/yolov5/../coco128/images/train2017/000000000357.jpg: image 62/128 /content/yolov5/../coco128/images/train2017/000000000359.jpg: image 63/128 /content/yolov5/../coco128/images/train2017/000000000360.jpg: image 64/128 /content/yolov5/../coco128/images/train2017/000000000368.jpg: image 65/128 /content/yolov5/../coco128/images/train2017/000000000370.jpg: image 66/128 /content/yolov5/../coco128/images/train2017/000000000382.jpg: image 67/128 /content/yolov5/../coco128/images/train2017/000000000384.jpg: image 68/128 /content/yolov5/../coco128/images/train2017/000000000387.jpg: image 69/128 /content/yolov5/../coco128/images/train2017/000000000389.jpg: image 70/128 /content/yolov5/../coco128/images/train2017/000000000394.jpg: image 71/128 /content/yolov5/../coco128/images/train2017/000000000395.jpg: image 72/128 /content/yolov5/../coco128/images/train2017/000000000397.jpg: image 73/128 /content/yolov5/../coco128/images/train2017/000000000400.jpg: image 74/128 /content/yolov5/../coco128/images/train2017/000000000404.jpg: image 75/128 /content/yolov5/../coco128/images/train2017/000000000415.jpg: image 76/128 /content/yolov5/../coco128/images/train2017/000000000419.jpg: image 77/128 /content/yolov5/../coco128/images/train2017/000000000428.jpg: image 78/128 /content/yolov5/../coco128/images/train2017/000000000431.jpg: image 79/128 /content/yolov5/../coco128/images/train2017/000000000436.jpg: image 80/128 /content/yolov5/../coco128/images/train2017/000000000438.jpg: image 81/128 /content/yolov5/../coco128/images/train2017/000000000443.jpg: image 82/128 /content/yolov5/../coco128/images/train2017/000000000446.jpg: image 83/128 /content/yolov5/../coco128/images/train2017/000000000450.jpg: image 84/128 /content/yolov5/../coco128/images/train2017/000000000459.jpg: image 85/128 /content/yolov5/../coco128/images/train2017/000000000471.jpg: image 86/128 /content/yolov5/../coco128/images/train2017/000000000472.jpg: image 87/128 /content/yolov5/../coco128/images/train2017/000000000474.jpg: image 88/128 /content/yolov5/../coco128/images/train2017/000000000486.jpg: image 89/128 /content/yolov5/../coco128/images/train2017/000000000488.jpg: image 90/128 /content/yolov5/../coco128/images/train2017/000000000490.jpg: image 91/128 /content/yolov5/../coco128/images/train2017/000000000491.jpg: image 92/128 /content/yolov5/../coco128/images/train2017/000000000502.jpg: image 93/128 /content/yolov5/../coco128/images/train2017/000000000508.jpg: image 94/128 /content/yolov5/../coco128/images/train2017/000000000510.jpg: image 95/128 /content/yolov5/../coco128/images/train2017/000000000514.jpg: image 96/128 /content/yolov5/../coco128/images/train2017/000000000520.jpg: image 97/128 /content/yolov5/../coco128/images/train2017/000000000529.jpg: image 98/128 /content/yolov5/../coco128/images/train2017/000000000531.jpg: image 99/128 /content/yolov5/../coco128/images/train2017/000000000532.jpg: image 100/128 /content/yolov5/../coco128/images/train2017/000000000536.jpg: image 101/128 /content/yolov5/../coco128/images/train2017/000000000540.jpg: image 102/128 /content/yolov5/../coco128/images/train2017/000000000542.jpg: image 103/128 /content/yolov5/../coco128/images/train2017/000000000544.jpg: image 104/128 /content/yolov5/../coco128/images/train2017/000000000560.jpg: image 105/128 /content/yolov5/../coco128/images/train2017/000000000562.jpg: image 106/128 /content/yolov5/../coco128/images/train2017/000000000564.jpg: image 107/128 /content/yolov5/../coco128/images/train2017/000000000569.jpg: image 108/128 /content/yolov5/../coco128/images/train2017/000000000572.jpg: image 109/128 /content/yolov5/../coco128/images/train2017/000000000575.jpg: image 110/128 /content/yolov5/../coco128/images/train2017/000000000581.jpg: image 111/128 /content/yolov5/../coco128/images/train2017/000000000584.jpg: image 112/128 /content/yolov5/../coco128/images/train2017/000000000589.jpg: image 113/128 /content/yolov5/../coco128/images/train2017/000000000590.jpg: image 114/128 /content/yolov5/../coco128/images/train2017/000000000595.jpg: image 115/128 /content/yolov5/../coco128/images/train2017/000000000597.jpg: image 116/128 /content/yolov5/../coco128/images/train2017/000000000599.jpg: image 117/128 /content/yolov5/../coco128/images/train2017/000000000605.jpg: image 118/128 /content/yolov5/../coco128/images/train2017/000000000612.jpg: image 119/128 /content/yolov5/../coco128/images/train2017/000000000620.jpg: image 120/128 /content/yolov5/../coco128/images/train2017/000000000623.jpg: image 121/128 /content/yolov5/../coco128/images/train2017/000000000625.jpg: image 122/128 /content/yolov5/../coco128/images/train2017/000000000626.jpg: image 123/128 /content/yolov5/../coco128/images/train2017/000000000629.jpg: image 124/128 /content/yolov5/../coco128/images/train2017/000000000634.jpg: image 125/128 /content/yolov5/../coco128/images/train2017/000000000636.jpg: image 126/128 /content/yolov5/../coco128/images/train2017/000000000641.jpg: image 127/128 /content/yolov5/../coco128/images/train2017/000000000643.jpg: image 128/128 /content/yolov5/../coco128/images/train2017/000000000650.jpg: TFLite (int8) export success, saved as yolov5s-int8.tflite