Using TensorFlow backend.
WARNING:tensorflow:From /home/dl-desktop/anaconda3/envs/tf_gpu/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
2020-03-10 23:09:26.611545: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2020-03-10 23:09:26.633983: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3199460000 Hz
2020-03-10 23:09:26.634773: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x5596494f7760 executing computations on platform Host. Devices:
2020-03-10 23:09:26.634805: I tensorflow/compiler/xla/service/service.cc:158]   StreamExecutor device (0): <undefined>, <undefined>
2020-03-10 23:09:26.774492: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:998] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-03-10 23:09:26.775159: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x55964938fa80 executing computations on platform CUDA. Devices:
2020-03-10 23:09:26.775177: I tensorflow/compiler/xla/service/service.cc:158]   StreamExecutor device (0): GeForce GTX 1060 6GB, Compute Capability 6.1
2020-03-10 23:09:26.775430: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1433] Found device 0 with properties: 
name: GeForce GTX 1060 6GB major: 6 minor: 1 memoryClockRate(GHz): 1.7845
pciBusID: 0000:22:00.0
totalMemory: 5.93GiB freeMemory: 5.52GiB
2020-03-10 23:09:26.775444: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1512] Adding visible gpu devices: 0
2020-03-10 23:09:26.776250: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-03-10 23:09:26.776259: I tensorflow/core/common_runtime/gpu/gpu_device.cc:990]      0 
2020-03-10 23:09:26.776264: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1003] 0:   N 
2020-03-10 23:09:26.776403: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 5355 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1060 6GB, pci bus id: 0000:22:00.0, compute capability: 6.1)
WARNING:tensorflow:From /home/dl-desktop/Desktop/Rentadrone/model-definition/keras-yolo3-master/yolo.py:24: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
/home/dl-desktop/anaconda3/envs/tf_gpu/lib/python3.6/site-packages/keras/callbacks.py:1065: UserWarning: `epsilon` argument is deprecated and will be removed, use `min_delta` instead.
  warnings.warn('`epsilon` argument is deprecated and '
WARNING:tensorflow:From /home/dl-desktop/anaconda3/envs/tf_gpu/lib/python3.6/site-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
/home/dl-desktop/anaconda3/envs/tf_gpu/lib/python3.6/site-packages/keras/engine/saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually.
  warnings.warn('No training configuration found in save file: '
