System information
- What is the top-level directory of the model you are using: Usersβ©/cpattersonβ©/TrainYourOwnYOLO/
- Have I written custom code (as opposed to using a stock example script provided in the repo): changed tensorflow-estimator version to 1.15.1
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Mac OS 10.14.6
- TensorFlow version (use command below): v1.15.0-92-g5d80e1e8e6 1.15.2
- Exact command to reproduce: python Download_and_Convert_YOLO_weights.py
Describe the problem
When I run Download_and_Convert_YOLO_weights.py, I'm getting several warnings about names being deprecated. For example, the first one is:
WARNING: Logging before flag parsing goes to stderr.
W0215 19:36:26.215769 4600120768 module_wrapper.py:139] From /Users/cpatterson/TrainYourOwnYOLO/env/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:74: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.
Later, when I move on to the inference step, I don't get any results. So, I am curious if this could be the cause.
Source code / logs
Last login: Sat Feb 15 17:56:01 on ttys000
idc113-01:~ cpatterson$ cd TrainYourOwnYOLO/
idc113-01:TrainYourOwnYOLO cpatterson$ python3 -m venv env
idc113-01:TrainYourOwnYOLO cpatterson$ source env/bin/activate
(env) idc113-01:TrainYourOwnYOLO cpatterson$ pip install -r requirements.txt
Requirement already satisfied: setuptools>=41.0.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 1)) (45.1.0)
Requirement already satisfied: pip>=19.0.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 2)) (20.0.2)
Requirement already satisfied: absl-py==0.7.1 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 3)) (0.7.1)
Requirement already satisfied: astor==0.8.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 4)) (0.8.0)
Requirement already satisfied: attrs==19.1.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 5)) (19.1.0)
Requirement already satisfied: backcall==0.1.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 6)) (0.1.0)
Requirement already satisfied: bleach==3.1.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 7)) (3.1.0)
Requirement already satisfied: certifi==2019.6.16 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 8)) (2019.6.16)
Requirement already satisfied: chardet==3.0.4 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 9)) (3.0.4)
Requirement already satisfied: cycler==0.10.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 10)) (0.10.0)
Requirement already satisfied: decorator==4.4.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 11)) (4.4.0)
Requirement already satisfied: defusedxml==0.6.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 12)) (0.6.0)
Requirement already satisfied: progressbar2==3.46.1 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 13)) (3.46.1)
Requirement already satisfied: entrypoints==0.3 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 14)) (0.3)
Requirement already satisfied: gast==0.2.2 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 15)) (0.2.2)
Requirement already satisfied: google-pasta==0.1.7 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 16)) (0.1.7)
Requirement already satisfied: grpcio==1.22.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 17)) (1.22.0)
Requirement already satisfied: h5py==2.9.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 18)) (2.9.0)
Requirement already satisfied: idna==2.8 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 19)) (2.8)
Requirement already satisfied: ipykernel==5.1.1 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 20)) (5.1.1)
Requirement already satisfied: ipython==7.6.1 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 21)) (7.6.1)
Requirement already satisfied: ipython-genutils==0.2.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 22)) (0.2.0)
Requirement already satisfied: ipywidgets==7.5.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 23)) (7.5.0)
Requirement already satisfied: jedi==0.14.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 24)) (0.14.0)
Requirement already satisfied: Jinja2==2.10.1 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 25)) (2.10.1)
Requirement already satisfied: joblib==0.13.2 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 26)) (0.13.2)
Requirement already satisfied: jsonschema==3.0.1 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 27)) (3.0.1)
Requirement already satisfied: jupyter==1.0.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 28)) (1.0.0)
Requirement already satisfied: jupyter-client==5.3.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 29)) (5.3.0)
Requirement already satisfied: jupyter-console==6.0.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 30)) (6.0.0)
Requirement already satisfied: jupyter-core==4.5.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 31)) (4.5.0)
Requirement already satisfied: Keras==2.2.4 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 32)) (2.2.4)
Requirement already satisfied: Keras-Applications==1.0.8 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 33)) (1.0.8)
Requirement already satisfied: Keras-Preprocessing==1.1.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 34)) (1.1.0)
Requirement already satisfied: kiwisolver==1.1.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 35)) (1.1.0)
Requirement already satisfied: Markdown==3.1.1 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 36)) (3.1.1)
Requirement already satisfied: MarkupSafe==1.1.1 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 37)) (1.1.1)
Requirement already satisfied: matplotlib==3.0.3 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 38)) (3.0.3)
Requirement already satisfied: mistune==0.8.4 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 39)) (0.8.4)
Requirement already satisfied: mpmath==1.1.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 40)) (1.1.0)
Requirement already satisfied: nbconvert==5.5.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 41)) (5.5.0)
Requirement already satisfied: nbformat==4.4.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 42)) (4.4.0)
Requirement already satisfied: notebook==5.7.8 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 43)) (5.7.8)
Requirement already satisfied: numpy==1.16.4 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 44)) (1.16.4)
Requirement already satisfied: opencv-python==4.1.0.25 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 45)) (4.1.0.25)
Requirement already satisfied: pandas==0.24.2 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 46)) (0.24.2)
Requirement already satisfied: pandocfilters==1.4.2 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 47)) (1.4.2)
Requirement already satisfied: parso==0.5.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 48)) (0.5.0)
Requirement already satisfied: pexpect==4.7.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 49)) (4.7.0)
Requirement already satisfied: pickleshare==0.7.5 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 50)) (0.7.5)
Requirement already satisfied: Pillow==6.2.1 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 51)) (6.2.1)
Requirement already satisfied: prometheus-client==0.7.1 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 52)) (0.7.1)
Requirement already satisfied: prompt-toolkit==2.0.9 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 53)) (2.0.9)
Requirement already satisfied: protobuf==3.8.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 54)) (3.8.0)
Requirement already satisfied: ptyprocess==0.6.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 55)) (0.6.0)
Requirement already satisfied: Pygments==2.4.2 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 56)) (2.4.2)
Requirement already satisfied: pyparsing==2.4.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 57)) (2.4.0)
Requirement already satisfied: pyrsistent==0.15.3 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 58)) (0.15.3)
Requirement already satisfied: python-dateutil==2.8.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 59)) (2.8.0)
Requirement already satisfied: pytz==2019.1 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 60)) (2019.1)
Requirement already satisfied: PyYAML==5.1.1 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 61)) (5.1.1)
Requirement already satisfied: pyzmq==18.0.2 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 62)) (18.0.2)
Requirement already satisfied: qtconsole==4.5.1 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 63)) (4.5.1)
Requirement already satisfied: requests==2.22.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 64)) (2.22.0)
Requirement already satisfied: scikit-learn==0.21.2 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 65)) (0.21.2)
Requirement already satisfied: scipy==1.3.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 66)) (1.3.0)
Requirement already satisfied: Send2Trash==1.5.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 67)) (1.5.0)
Requirement already satisfied: six==1.12.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 68)) (1.12.0)
Requirement already satisfied: sklearn==0.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 69)) (0.0)
Requirement already satisfied: sympy==1.4 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 70)) (1.4)
Requirement already satisfied: tensorboard==1.15.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 71)) (1.15.0)
Requirement already satisfied: tensorflow==1.15.2 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 72)) (1.15.2)
Collecting tensorflow-estimator==1.15.1
Using cached tensorflow_estimator-1.15.1-py2.py3-none-any.whl (503 kB)
Requirement already satisfied: termcolor==1.1.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 74)) (1.1.0)
Requirement already satisfied: terminado==0.8.2 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 75)) (0.8.2)
Requirement already satisfied: testpath==0.4.2 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 76)) (0.4.2)
Requirement already satisfied: tornado==6.0.3 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 77)) (6.0.3)
Requirement already satisfied: traitlets==4.3.2 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 78)) (4.3.2)
Requirement already satisfied: urllib3==1.25.3 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 79)) (1.25.3)
Requirement already satisfied: wcwidth==0.1.7 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 80)) (0.1.7)
Requirement already satisfied: webencodings==0.5.1 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 81)) (0.5.1)
Requirement already satisfied: Werkzeug==0.15.4 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 82)) (0.15.4)
Requirement already satisfied: widgetsnbextension==3.5.0 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 83)) (3.5.0)
Requirement already satisfied: wrapt==1.11.2 in ./env/lib/python3.6/site-packages (from -r requirements.txt (line 84)) (1.11.2)
Requirement already satisfied: python-utils>=2.3.0 in ./env/lib/python3.6/site-packages (from progressbar2==3.46.1->-r requirements.txt (line 13)) (2.3.0)
Requirement already satisfied: appnope; sys_platform == "darwin" in ./env/lib/python3.6/site-packages (from ipython==7.6.1->-r requirements.txt (line 21)) (0.1.0)
Requirement already satisfied: wheel>=0.26; python_version >= "3" in ./env/lib/python3.6/site-packages (from tensorboard==1.15.0->-r requirements.txt (line 71)) (0.34.2)
Requirement already satisfied: opt-einsum>=2.3.2 in ./env/lib/python3.6/site-packages (from tensorflow==1.15.2->-r requirements.txt (line 72)) (3.1.0)
Installing collected packages: tensorflow-estimator
Attempting uninstall: tensorflow-estimator
Found existing installation: tensorflow-estimator 1.15.0
Uninstalling tensorflow-estimator-1.15.0:
Successfully uninstalled tensorflow-estimator-1.15.0
Successfully installed tensorflow-estimator-1.15.1
(env) idc113-01:TrainYourOwnYOLO cpatterson$ cd 1_Image_Annotation
(env) idc113-01:1_Image_Annotation cpatterson$ python Convert_to_YOLO_format.py
(env) idc113-01:1_Image_Annotation cpatterson$ cd ../2_Training
(env) idc113-01:2_Training cpatterson$ python Download_and_Convert_YOLO_weights.py
99% (2479194 of 2480070) |################################################################################################################## | Elapsed Time: 0:00:39 ETA: 0:00:00Using TensorFlow backend.
Loading weights.
Weights Header: 0 2 0 [32013312]
Parsing Darknet config.
Creating Keras model.
WARNING: Logging before flag parsing goes to stderr.
W0215 19:36:26.215769 4600120768 module_wrapper.py:139] From /Users/cpatterson/TrainYourOwnYOLO/env/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:74: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.
W0215 19:36:26.223051 4600120768 module_wrapper.py:139] From /Users/cpatterson/TrainYourOwnYOLO/env/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.
Parsing section net_0
Parsing section convolutional_0
conv2d bn leaky (3, 3, 3, 32)
W0215 19:36:26.230928 4600120768 module_wrapper.py:139] From /Users/cpatterson/TrainYourOwnYOLO/env/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.
W0215 19:36:26.249578 4600120768 module_wrapper.py:139] From /Users/cpatterson/TrainYourOwnYOLO/env/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.
W0215 19:36:26.249835 4600120768 module_wrapper.py:139] From /Users/cpatterson/TrainYourOwnYOLO/env/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:181: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.
W0215 19:36:26.250049 4600120768 module_wrapper.py:139] From /Users/cpatterson/TrainYourOwnYOLO/env/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:186: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.
2020-02-15 19:36:26.250795: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2020-02-15 19:36:26.283600: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7fa56c5b9370 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-02-15 19:36:26.283625: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
W0215 19:36:26.286991 4600120768 module_wrapper.py:139] From /Users/cpatterson/TrainYourOwnYOLO/env/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.
W0215 19:36:26.287442 4600120768 module_wrapper.py:139] From /Users/cpatterson/TrainYourOwnYOLO/env/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead.
W0215 19:36:26.327128 4600120768 module_wrapper.py:139] From /Users/cpatterson/TrainYourOwnYOLO/env/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.
W0215 19:36:26.413047 4600120768 module_wrapper.py:139] From /Users/cpatterson/TrainYourOwnYOLO/env/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead.
W0215 19:36:26.468871 4600120768 module_wrapper.py:139] From /Users/cpatterson/TrainYourOwnYOLO/env/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:133: The name tf.placeholder_with_default is deprecated. Please use tf.compat.v1.placeholder_with_default instead.
Parsing section convolutional_1
conv2d bn leaky (3, 3, 32, 64)
Parsing section convolutional_2
conv2d bn leaky (1, 1, 64, 32)
Parsing section convolutional_3
conv2d bn leaky (3, 3, 32, 64)
Parsing section shortcut_0
Parsing section convolutional_4
conv2d bn leaky (3, 3, 64, 128)
Parsing section convolutional_5
conv2d bn leaky (1, 1, 128, 64)
Parsing section convolutional_6
conv2d bn leaky (3, 3, 64, 128)
Parsing section shortcut_1
Parsing section convolutional_7
conv2d bn leaky (1, 1, 128, 64)
Parsing section convolutional_8
conv2d bn leaky (3, 3, 64, 128)
Parsing section shortcut_2
Parsing section convolutional_9
conv2d bn leaky (3, 3, 128, 256)
Parsing section convolutional_10
conv2d bn leaky (1, 1, 256, 128)
Parsing section convolutional_11
conv2d bn leaky (3, 3, 128, 256)
Parsing section shortcut_3
Parsing section convolutional_12
conv2d bn leaky (1, 1, 256, 128)
Parsing section convolutional_13
conv2d bn leaky (3, 3, 128, 256)
Parsing section shortcut_4
Parsing section convolutional_14
conv2d bn leaky (1, 1, 256, 128)
Parsing section convolutional_15
conv2d bn leaky (3, 3, 128, 256)
Parsing section shortcut_5
Parsing section convolutional_16
conv2d bn leaky (1, 1, 256, 128)
Parsing section convolutional_17
conv2d bn leaky (3, 3, 128, 256)
Parsing section shortcut_6
Parsing section convolutional_18
conv2d bn leaky (1, 1, 256, 128)
Parsing section convolutional_19
conv2d bn leaky (3, 3, 128, 256)
Parsing section shortcut_7
Parsing section convolutional_20
conv2d bn leaky (1, 1, 256, 128)
Parsing section convolutional_21
conv2d bn leaky (3, 3, 128, 256)
Parsing section shortcut_8
Parsing section convolutional_22
conv2d bn leaky (1, 1, 256, 128)
Parsing section convolutional_23
conv2d bn leaky (3, 3, 128, 256)
Parsing section shortcut_9
Parsing section convolutional_24
conv2d bn leaky (1, 1, 256, 128)
Parsing section convolutional_25
conv2d bn leaky (3, 3, 128, 256)
Parsing section shortcut_10
Parsing section convolutional_26
conv2d bn leaky (3, 3, 256, 512)
Parsing section convolutional_27
conv2d bn leaky (1, 1, 512, 256)
Parsing section convolutional_28
conv2d bn leaky (3, 3, 256, 512)
Parsing section shortcut_11
Parsing section convolutional_29
conv2d bn leaky (1, 1, 512, 256)
Parsing section convolutional_30
conv2d bn leaky (3, 3, 256, 512)
Parsing section shortcut_12
Parsing section convolutional_31
conv2d bn leaky (1, 1, 512, 256)
Parsing section convolutional_32
conv2d bn leaky (3, 3, 256, 512)
Parsing section shortcut_13
Parsing section convolutional_33
conv2d bn leaky (1, 1, 512, 256)
Parsing section convolutional_34
conv2d bn leaky (3, 3, 256, 512)
Parsing section shortcut_14
Parsing section convolutional_35
conv2d bn leaky (1, 1, 512, 256)
Parsing section convolutional_36
conv2d bn leaky (3, 3, 256, 512)
Parsing section shortcut_15
Parsing section convolutional_37
conv2d bn leaky (1, 1, 512, 256)
Parsing section convolutional_38
conv2d bn leaky (3, 3, 256, 512)
Parsing section shortcut_16
Parsing section convolutional_39
conv2d bn leaky (1, 1, 512, 256)
Parsing section convolutional_40
conv2d bn leaky (3, 3, 256, 512)
Parsing section shortcut_17
Parsing section convolutional_41
conv2d bn leaky (1, 1, 512, 256)
Parsing section convolutional_42
conv2d bn leaky (3, 3, 256, 512)
Parsing section shortcut_18
Parsing section convolutional_43
conv2d bn leaky (3, 3, 512, 1024)
Parsing section convolutional_44
conv2d bn leaky (1, 1, 1024, 512)
Parsing section convolutional_45
conv2d bn leaky (3, 3, 512, 1024)
Parsing section shortcut_19
Parsing section convolutional_46
conv2d bn leaky (1, 1, 1024, 512)
Parsing section convolutional_47
conv2d bn leaky (3, 3, 512, 1024)
Parsing section shortcut_20
Parsing section convolutional_48
conv2d bn leaky (1, 1, 1024, 512)
Parsing section convolutional_49
conv2d bn leaky (3, 3, 512, 1024)
Parsing section shortcut_21
Parsing section convolutional_50
conv2d bn leaky (1, 1, 1024, 512)
Parsing section convolutional_51
conv2d bn leaky (3, 3, 512, 1024)
Parsing section shortcut_22
Parsing section convolutional_52
conv2d bn leaky (1, 1, 1024, 512)
Parsing section convolutional_53
conv2d bn leaky (3, 3, 512, 1024)
Parsing section convolutional_54
conv2d bn leaky (1, 1, 1024, 512)
Parsing section convolutional_55
conv2d bn leaky (3, 3, 512, 1024)
Parsing section convolutional_56
conv2d bn leaky (1, 1, 1024, 512)
Parsing section convolutional_57
conv2d bn leaky (3, 3, 512, 1024)
Parsing section convolutional_58
conv2d linear (1, 1, 1024, 255)
Parsing section yolo_0
Parsing section route_0
Parsing section convolutional_59
conv2d bn leaky (1, 1, 512, 256)
Parsing section upsample_0
W0215 19:37:46.677906 4600120768 module_wrapper.py:139] From /Users/cpatterson/TrainYourOwnYOLO/env/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:2018: The name tf.image.resize_nearest_neighbor is deprecated. Please use tf.compat.v1.image.resize_nearest_neighbor instead.
Parsing section route_1
Concatenating route layers: [<tf.Tensor 'up_sampling2d_1/ResizeNearestNeighbor:0' shape=(?, ?, ?, 256) dtype=float32>, <tf.Tensor 'add_19/add:0' shape=(?, ?, ?, 512) dtype=float32>]
Parsing section convolutional_60
conv2d bn leaky (1, 1, 768, 256)
Parsing section convolutional_61
conv2d bn leaky (3, 3, 256, 512)
Parsing section convolutional_62
conv2d bn leaky (1, 1, 512, 256)
Parsing section convolutional_63
conv2d bn leaky (3, 3, 256, 512)
Parsing section convolutional_64
conv2d bn leaky (1, 1, 512, 256)
Parsing section convolutional_65
conv2d bn leaky (3, 3, 256, 512)
Parsing section convolutional_66
conv2d linear (1, 1, 512, 255)
Parsing section yolo_1
Parsing section route_2
Parsing section convolutional_67
conv2d bn leaky (1, 1, 256, 128)
Parsing section upsample_1
Parsing section route_3
Concatenating route layers: [<tf.Tensor 'up_sampling2d_2/ResizeNearestNeighbor:0' shape=(?, ?, ?, 128) dtype=float32>, <tf.Tensor 'add_11/add:0' shape=(?, ?, ?, 256) dtype=float32>]
Parsing section convolutional_68
conv2d bn leaky (1, 1, 384, 128)
Parsing section convolutional_69
conv2d bn leaky (3, 3, 128, 256)
Parsing section convolutional_70
conv2d bn leaky (1, 1, 256, 128)
Parsing section convolutional_71
conv2d bn leaky (3, 3, 128, 256)
Parsing section convolutional_72
conv2d bn leaky (1, 1, 256, 128)
Parsing section convolutional_73
conv2d bn leaky (3, 3, 128, 256)
Parsing section convolutional_74
conv2d linear (1, 1, 256, 255)
Parsing section yolo_2
Layer (type) Output Shape Param # Connected to
input_1 (InputLayer) (None, None, None, 3 0
conv2d_1 (Conv2D) (None, None, None, 3 864 input_1[0][0]
batch_normalization_1 (BatchNor (None, None, None, 3 128 conv2d_1[0][0]
leaky_re_lu_1 (LeakyReLU) (None, None, None, 3 0 batch_normalization_1[0][0]
zero_padding2d_1 (ZeroPadding2D (None, None, None, 3 0 leaky_re_lu_1[0][0]
conv2d_2 (Conv2D) (None, None, None, 6 18432 zero_padding2d_1[0][0]
batch_normalization_2 (BatchNor (None, None, None, 6 256 conv2d_2[0][0]
leaky_re_lu_2 (LeakyReLU) (None, None, None, 6 0 batch_normalization_2[0][0]
conv2d_3 (Conv2D) (None, None, None, 3 2048 leaky_re_lu_2[0][0]
batch_normalization_3 (BatchNor (None, None, None, 3 128 conv2d_3[0][0]
leaky_re_lu_3 (LeakyReLU) (None, None, None, 3 0 batch_normalization_3[0][0]
conv2d_4 (Conv2D) (None, None, None, 6 18432 leaky_re_lu_3[0][0]
batch_normalization_4 (BatchNor (None, None, None, 6 256 conv2d_4[0][0]
leaky_re_lu_4 (LeakyReLU) (None, None, None, 6 0 batch_normalization_4[0][0]
add_1 (Add) (None, None, None, 6 0 leaky_re_lu_2[0][0]
leaky_re_lu_4[0][0]
zero_padding2d_2 (ZeroPadding2D (None, None, None, 6 0 add_1[0][0]
conv2d_5 (Conv2D) (None, None, None, 1 73728 zero_padding2d_2[0][0]
batch_normalization_5 (BatchNor (None, None, None, 1 512 conv2d_5[0][0]
leaky_re_lu_5 (LeakyReLU) (None, None, None, 1 0 batch_normalization_5[0][0]
conv2d_6 (Conv2D) (None, None, None, 6 8192 leaky_re_lu_5[0][0]
batch_normalization_6 (BatchNor (None, None, None, 6 256 conv2d_6[0][0]
leaky_re_lu_6 (LeakyReLU) (None, None, None, 6 0 batch_normalization_6[0][0]
conv2d_7 (Conv2D) (None, None, None, 1 73728 leaky_re_lu_6[0][0]
batch_normalization_7 (BatchNor (None, None, None, 1 512 conv2d_7[0][0]
leaky_re_lu_7 (LeakyReLU) (None, None, None, 1 0 batch_normalization_7[0][0]
add_2 (Add) (None, None, None, 1 0 leaky_re_lu_5[0][0]
leaky_re_lu_7[0][0]
conv2d_8 (Conv2D) (None, None, None, 6 8192 add_2[0][0]
batch_normalization_8 (BatchNor (None, None, None, 6 256 conv2d_8[0][0]
leaky_re_lu_8 (LeakyReLU) (None, None, None, 6 0 batch_normalization_8[0][0]
conv2d_9 (Conv2D) (None, None, None, 1 73728 leaky_re_lu_8[0][0]
batch_normalization_9 (BatchNor (None, None, None, 1 512 conv2d_9[0][0]
leaky_re_lu_9 (LeakyReLU) (None, None, None, 1 0 batch_normalization_9[0][0]
add_3 (Add) (None, None, None, 1 0 add_2[0][0]
leaky_re_lu_9[0][0]
zero_padding2d_3 (ZeroPadding2D (None, None, None, 1 0 add_3[0][0]
conv2d_10 (Conv2D) (None, None, None, 2 294912 zero_padding2d_3[0][0]
batch_normalization_10 (BatchNo (None, None, None, 2 1024 conv2d_10[0][0]
leaky_re_lu_10 (LeakyReLU) (None, None, None, 2 0 batch_normalization_10[0][0]
conv2d_11 (Conv2D) (None, None, None, 1 32768 leaky_re_lu_10[0][0]
batch_normalization_11 (BatchNo (None, None, None, 1 512 conv2d_11[0][0]
leaky_re_lu_11 (LeakyReLU) (None, None, None, 1 0 batch_normalization_11[0][0]
conv2d_12 (Conv2D) (None, None, None, 2 294912 leaky_re_lu_11[0][0]
batch_normalization_12 (BatchNo (None, None, None, 2 1024 conv2d_12[0][0]
leaky_re_lu_12 (LeakyReLU) (None, None, None, 2 0 batch_normalization_12[0][0]
add_4 (Add) (None, None, None, 2 0 leaky_re_lu_10[0][0]
leaky_re_lu_12[0][0]
conv2d_13 (Conv2D) (None, None, None, 1 32768 add_4[0][0]
batch_normalization_13 (BatchNo (None, None, None, 1 512 conv2d_13[0][0]
leaky_re_lu_13 (LeakyReLU) (None, None, None, 1 0 batch_normalization_13[0][0]
conv2d_14 (Conv2D) (None, None, None, 2 294912 leaky_re_lu_13[0][0]
batch_normalization_14 (BatchNo (None, None, None, 2 1024 conv2d_14[0][0]
leaky_re_lu_14 (LeakyReLU) (None, None, None, 2 0 batch_normalization_14[0][0]
add_5 (Add) (None, None, None, 2 0 add_4[0][0]
leaky_re_lu_14[0][0]
conv2d_15 (Conv2D) (None, None, None, 1 32768 add_5[0][0]
batch_normalization_15 (BatchNo (None, None, None, 1 512 conv2d_15[0][0]
leaky_re_lu_15 (LeakyReLU) (None, None, None, 1 0 batch_normalization_15[0][0]
conv2d_16 (Conv2D) (None, None, None, 2 294912 leaky_re_lu_15[0][0]
batch_normalization_16 (BatchNo (None, None, None, 2 1024 conv2d_16[0][0]
leaky_re_lu_16 (LeakyReLU) (None, None, None, 2 0 batch_normalization_16[0][0]
add_6 (Add) (None, None, None, 2 0 add_5[0][0]
leaky_re_lu_16[0][0]
conv2d_17 (Conv2D) (None, None, None, 1 32768 add_6[0][0]
batch_normalization_17 (BatchNo (None, None, None, 1 512 conv2d_17[0][0]
leaky_re_lu_17 (LeakyReLU) (None, None, None, 1 0 batch_normalization_17[0][0]
conv2d_18 (Conv2D) (None, None, None, 2 294912 leaky_re_lu_17[0][0]
batch_normalization_18 (BatchNo (None, None, None, 2 1024 conv2d_18[0][0]
leaky_re_lu_18 (LeakyReLU) (None, None, None, 2 0 batch_normalization_18[0][0]
add_7 (Add) (None, None, None, 2 0 add_6[0][0]
leaky_re_lu_18[0][0]
conv2d_19 (Conv2D) (None, None, None, 1 32768 add_7[0][0]
batch_normalization_19 (BatchNo (None, None, None, 1 512 conv2d_19[0][0]
leaky_re_lu_19 (LeakyReLU) (None, None, None, 1 0 batch_normalization_19[0][0]
conv2d_20 (Conv2D) (None, None, None, 2 294912 leaky_re_lu_19[0][0]
batch_normalization_20 (BatchNo (None, None, None, 2 1024 conv2d_20[0][0]
leaky_re_lu_20 (LeakyReLU) (None, None, None, 2 0 batch_normalization_20[0][0]
add_8 (Add) (None, None, None, 2 0 add_7[0][0]
leaky_re_lu_20[0][0]
conv2d_21 (Conv2D) (None, None, None, 1 32768 add_8[0][0]
batch_normalization_21 (BatchNo (None, None, None, 1 512 conv2d_21[0][0]
leaky_re_lu_21 (LeakyReLU) (None, None, None, 1 0 batch_normalization_21[0][0]
conv2d_22 (Conv2D) (None, None, None, 2 294912 leaky_re_lu_21[0][0]
batch_normalization_22 (BatchNo (None, None, None, 2 1024 conv2d_22[0][0]
leaky_re_lu_22 (LeakyReLU) (None, None, None, 2 0 batch_normalization_22[0][0]
add_9 (Add) (None, None, None, 2 0 add_8[0][0]
leaky_re_lu_22[0][0]
conv2d_23 (Conv2D) (None, None, None, 1 32768 add_9[0][0]
batch_normalization_23 (BatchNo (None, None, None, 1 512 conv2d_23[0][0]
leaky_re_lu_23 (LeakyReLU) (None, None, None, 1 0 batch_normalization_23[0][0]
conv2d_24 (Conv2D) (None, None, None, 2 294912 leaky_re_lu_23[0][0]
batch_normalization_24 (BatchNo (None, None, None, 2 1024 conv2d_24[0][0]
leaky_re_lu_24 (LeakyReLU) (None, None, None, 2 0 batch_normalization_24[0][0]
add_10 (Add) (None, None, None, 2 0 add_9[0][0]
leaky_re_lu_24[0][0]
conv2d_25 (Conv2D) (None, None, None, 1 32768 add_10[0][0]
batch_normalization_25 (BatchNo (None, None, None, 1 512 conv2d_25[0][0]
leaky_re_lu_25 (LeakyReLU) (None, None, None, 1 0 batch_normalization_25[0][0]
conv2d_26 (Conv2D) (None, None, None, 2 294912 leaky_re_lu_25[0][0]
batch_normalization_26 (BatchNo (None, None, None, 2 1024 conv2d_26[0][0]
leaky_re_lu_26 (LeakyReLU) (None, None, None, 2 0 batch_normalization_26[0][0]
add_11 (Add) (None, None, None, 2 0 add_10[0][0]
leaky_re_lu_26[0][0]
zero_padding2d_4 (ZeroPadding2D (None, None, None, 2 0 add_11[0][0]
conv2d_27 (Conv2D) (None, None, None, 5 1179648 zero_padding2d_4[0][0]
batch_normalization_27 (BatchNo (None, None, None, 5 2048 conv2d_27[0][0]
leaky_re_lu_27 (LeakyReLU) (None, None, None, 5 0 batch_normalization_27[0][0]
conv2d_28 (Conv2D) (None, None, None, 2 131072 leaky_re_lu_27[0][0]
batch_normalization_28 (BatchNo (None, None, None, 2 1024 conv2d_28[0][0]
leaky_re_lu_28 (LeakyReLU) (None, None, None, 2 0 batch_normalization_28[0][0]
conv2d_29 (Conv2D) (None, None, None, 5 1179648 leaky_re_lu_28[0][0]
batch_normalization_29 (BatchNo (None, None, None, 5 2048 conv2d_29[0][0]
leaky_re_lu_29 (LeakyReLU) (None, None, None, 5 0 batch_normalization_29[0][0]
add_12 (Add) (None, None, None, 5 0 leaky_re_lu_27[0][0]
leaky_re_lu_29[0][0]
conv2d_30 (Conv2D) (None, None, None, 2 131072 add_12[0][0]
batch_normalization_30 (BatchNo (None, None, None, 2 1024 conv2d_30[0][0]
leaky_re_lu_30 (LeakyReLU) (None, None, None, 2 0 batch_normalization_30[0][0]
conv2d_31 (Conv2D) (None, None, None, 5 1179648 leaky_re_lu_30[0][0]
batch_normalization_31 (BatchNo (None, None, None, 5 2048 conv2d_31[0][0]
leaky_re_lu_31 (LeakyReLU) (None, None, None, 5 0 batch_normalization_31[0][0]
add_13 (Add) (None, None, None, 5 0 add_12[0][0]
leaky_re_lu_31[0][0]
conv2d_32 (Conv2D) (None, None, None, 2 131072 add_13[0][0]
batch_normalization_32 (BatchNo (None, None, None, 2 1024 conv2d_32[0][0]
leaky_re_lu_32 (LeakyReLU) (None, None, None, 2 0 batch_normalization_32[0][0]
conv2d_33 (Conv2D) (None, None, None, 5 1179648 leaky_re_lu_32[0][0]
batch_normalization_33 (BatchNo (None, None, None, 5 2048 conv2d_33[0][0]
leaky_re_lu_33 (LeakyReLU) (None, None, None, 5 0 batch_normalization_33[0][0]
add_14 (Add) (None, None, None, 5 0 add_13[0][0]
leaky_re_lu_33[0][0]
conv2d_34 (Conv2D) (None, None, None, 2 131072 add_14[0][0]
batch_normalization_34 (BatchNo (None, None, None, 2 1024 conv2d_34[0][0]
leaky_re_lu_34 (LeakyReLU) (None, None, None, 2 0 batch_normalization_34[0][0]
conv2d_35 (Conv2D) (None, None, None, 5 1179648 leaky_re_lu_34[0][0]
batch_normalization_35 (BatchNo (None, None, None, 5 2048 conv2d_35[0][0]
leaky_re_lu_35 (LeakyReLU) (None, None, None, 5 0 batch_normalization_35[0][0]
add_15 (Add) (None, None, None, 5 0 add_14[0][0]
leaky_re_lu_35[0][0]
conv2d_36 (Conv2D) (None, None, None, 2 131072 add_15[0][0]
batch_normalization_36 (BatchNo (None, None, None, 2 1024 conv2d_36[0][0]
leaky_re_lu_36 (LeakyReLU) (None, None, None, 2 0 batch_normalization_36[0][0]
conv2d_37 (Conv2D) (None, None, None, 5 1179648 leaky_re_lu_36[0][0]
batch_normalization_37 (BatchNo (None, None, None, 5 2048 conv2d_37[0][0]
leaky_re_lu_37 (LeakyReLU) (None, None, None, 5 0 batch_normalization_37[0][0]
add_16 (Add) (None, None, None, 5 0 add_15[0][0]
leaky_re_lu_37[0][0]
conv2d_38 (Conv2D) (None, None, None, 2 131072 add_16[0][0]
batch_normalization_38 (BatchNo (None, None, None, 2 1024 conv2d_38[0][0]
leaky_re_lu_38 (LeakyReLU) (None, None, None, 2 0 batch_normalization_38[0][0]
conv2d_39 (Conv2D) (None, None, None, 5 1179648 leaky_re_lu_38[0][0]
batch_normalization_39 (BatchNo (None, None, None, 5 2048 conv2d_39[0][0]
leaky_re_lu_39 (LeakyReLU) (None, None, None, 5 0 batch_normalization_39[0][0]
add_17 (Add) (None, None, None, 5 0 add_16[0][0]
leaky_re_lu_39[0][0]
conv2d_40 (Conv2D) (None, None, None, 2 131072 add_17[0][0]
batch_normalization_40 (BatchNo (None, None, None, 2 1024 conv2d_40[0][0]
leaky_re_lu_40 (LeakyReLU) (None, None, None, 2 0 batch_normalization_40[0][0]
conv2d_41 (Conv2D) (None, None, None, 5 1179648 leaky_re_lu_40[0][0]
batch_normalization_41 (BatchNo (None, None, None, 5 2048 conv2d_41[0][0]
leaky_re_lu_41 (LeakyReLU) (None, None, None, 5 0 batch_normalization_41[0][0]
add_18 (Add) (None, None, None, 5 0 add_17[0][0]
leaky_re_lu_41[0][0]
conv2d_42 (Conv2D) (None, None, None, 2 131072 add_18[0][0]
batch_normalization_42 (BatchNo (None, None, None, 2 1024 conv2d_42[0][0]
leaky_re_lu_42 (LeakyReLU) (None, None, None, 2 0 batch_normalization_42[0][0]
conv2d_43 (Conv2D) (None, None, None, 5 1179648 leaky_re_lu_42[0][0]
batch_normalization_43 (BatchNo (None, None, None, 5 2048 conv2d_43[0][0]
leaky_re_lu_43 (LeakyReLU) (None, None, None, 5 0 batch_normalization_43[0][0]
add_19 (Add) (None, None, None, 5 0 add_18[0][0]
leaky_re_lu_43[0][0]
zero_padding2d_5 (ZeroPadding2D (None, None, None, 5 0 add_19[0][0]
conv2d_44 (Conv2D) (None, None, None, 1 4718592 zero_padding2d_5[0][0]
batch_normalization_44 (BatchNo (None, None, None, 1 4096 conv2d_44[0][0]
leaky_re_lu_44 (LeakyReLU) (None, None, None, 1 0 batch_normalization_44[0][0]
conv2d_45 (Conv2D) (None, None, None, 5 524288 leaky_re_lu_44[0][0]
batch_normalization_45 (BatchNo (None, None, None, 5 2048 conv2d_45[0][0]
leaky_re_lu_45 (LeakyReLU) (None, None, None, 5 0 batch_normalization_45[0][0]
conv2d_46 (Conv2D) (None, None, None, 1 4718592 leaky_re_lu_45[0][0]
batch_normalization_46 (BatchNo (None, None, None, 1 4096 conv2d_46[0][0]
leaky_re_lu_46 (LeakyReLU) (None, None, None, 1 0 batch_normalization_46[0][0]
add_20 (Add) (None, None, None, 1 0 leaky_re_lu_44[0][0]
leaky_re_lu_46[0][0]
conv2d_47 (Conv2D) (None, None, None, 5 524288 add_20[0][0]
batch_normalization_47 (BatchNo (None, None, None, 5 2048 conv2d_47[0][0]
leaky_re_lu_47 (LeakyReLU) (None, None, None, 5 0 batch_normalization_47[0][0]
conv2d_48 (Conv2D) (None, None, None, 1 4718592 leaky_re_lu_47[0][0]
batch_normalization_48 (BatchNo (None, None, None, 1 4096 conv2d_48[0][0]
leaky_re_lu_48 (LeakyReLU) (None, None, None, 1 0 batch_normalization_48[0][0]
add_21 (Add) (None, None, None, 1 0 add_20[0][0]
leaky_re_lu_48[0][0]
conv2d_49 (Conv2D) (None, None, None, 5 524288 add_21[0][0]
batch_normalization_49 (BatchNo (None, None, None, 5 2048 conv2d_49[0][0]
leaky_re_lu_49 (LeakyReLU) (None, None, None, 5 0 batch_normalization_49[0][0]
conv2d_50 (Conv2D) (None, None, None, 1 4718592 leaky_re_lu_49[0][0]
batch_normalization_50 (BatchNo (None, None, None, 1 4096 conv2d_50[0][0]
leaky_re_lu_50 (LeakyReLU) (None, None, None, 1 0 batch_normalization_50[0][0]
add_22 (Add) (None, None, None, 1 0 add_21[0][0]
leaky_re_lu_50[0][0]
conv2d_51 (Conv2D) (None, None, None, 5 524288 add_22[0][0]
batch_normalization_51 (BatchNo (None, None, None, 5 2048 conv2d_51[0][0]
leaky_re_lu_51 (LeakyReLU) (None, None, None, 5 0 batch_normalization_51[0][0]
conv2d_52 (Conv2D) (None, None, None, 1 4718592 leaky_re_lu_51[0][0]
batch_normalization_52 (BatchNo (None, None, None, 1 4096 conv2d_52[0][0]
leaky_re_lu_52 (LeakyReLU) (None, None, None, 1 0 batch_normalization_52[0][0]
add_23 (Add) (None, None, None, 1 0 add_22[0][0]
leaky_re_lu_52[0][0]
conv2d_53 (Conv2D) (None, None, None, 5 524288 add_23[0][0]
batch_normalization_53 (BatchNo (None, None, None, 5 2048 conv2d_53[0][0]
leaky_re_lu_53 (LeakyReLU) (None, None, None, 5 0 batch_normalization_53[0][0]
conv2d_54 (Conv2D) (None, None, None, 1 4718592 leaky_re_lu_53[0][0]
batch_normalization_54 (BatchNo (None, None, None, 1 4096 conv2d_54[0][0]
leaky_re_lu_54 (LeakyReLU) (None, None, None, 1 0 batch_normalization_54[0][0]
conv2d_55 (Conv2D) (None, None, None, 5 524288 leaky_re_lu_54[0][0]
batch_normalization_55 (BatchNo (None, None, None, 5 2048 conv2d_55[0][0]
leaky_re_lu_55 (LeakyReLU) (None, None, None, 5 0 batch_normalization_55[0][0]
conv2d_56 (Conv2D) (None, None, None, 1 4718592 leaky_re_lu_55[0][0]
batch_normalization_56 (BatchNo (None, None, None, 1 4096 conv2d_56[0][0]
leaky_re_lu_56 (LeakyReLU) (None, None, None, 1 0 batch_normalization_56[0][0]
conv2d_57 (Conv2D) (None, None, None, 5 524288 leaky_re_lu_56[0][0]
batch_normalization_57 (BatchNo (None, None, None, 5 2048 conv2d_57[0][0]
leaky_re_lu_57 (LeakyReLU) (None, None, None, 5 0 batch_normalization_57[0][0]
conv2d_60 (Conv2D) (None, None, None, 2 131072 leaky_re_lu_57[0][0]
batch_normalization_59 (BatchNo (None, None, None, 2 1024 conv2d_60[0][0]
leaky_re_lu_59 (LeakyReLU) (None, None, None, 2 0 batch_normalization_59[0][0]
up_sampling2d_1 (UpSampling2D) (None, None, None, 2 0 leaky_re_lu_59[0][0]
concatenate_1 (Concatenate) (None, None, None, 7 0 up_sampling2d_1[0][0]
add_19[0][0]
conv2d_61 (Conv2D) (None, None, None, 2 196608 concatenate_1[0][0]
batch_normalization_60 (BatchNo (None, None, None, 2 1024 conv2d_61[0][0]
leaky_re_lu_60 (LeakyReLU) (None, None, None, 2 0 batch_normalization_60[0][0]
conv2d_62 (Conv2D) (None, None, None, 5 1179648 leaky_re_lu_60[0][0]
batch_normalization_61 (BatchNo (None, None, None, 5 2048 conv2d_62[0][0]
leaky_re_lu_61 (LeakyReLU) (None, None, None, 5 0 batch_normalization_61[0][0]
conv2d_63 (Conv2D) (None, None, None, 2 131072 leaky_re_lu_61[0][0]
batch_normalization_62 (BatchNo (None, None, None, 2 1024 conv2d_63[0][0]
leaky_re_lu_62 (LeakyReLU) (None, None, None, 2 0 batch_normalization_62[0][0]
conv2d_64 (Conv2D) (None, None, None, 5 1179648 leaky_re_lu_62[0][0]
batch_normalization_63 (BatchNo (None, None, None, 5 2048 conv2d_64[0][0]
leaky_re_lu_63 (LeakyReLU) (None, None, None, 5 0 batch_normalization_63[0][0]
conv2d_65 (Conv2D) (None, None, None, 2 131072 leaky_re_lu_63[0][0]
batch_normalization_64 (BatchNo (None, None, None, 2 1024 conv2d_65[0][0]
leaky_re_lu_64 (LeakyReLU) (None, None, None, 2 0 batch_normalization_64[0][0]
conv2d_68 (Conv2D) (None, None, None, 1 32768 leaky_re_lu_64[0][0]
batch_normalization_66 (BatchNo (None, None, None, 1 512 conv2d_68[0][0]
leaky_re_lu_66 (LeakyReLU) (None, None, None, 1 0 batch_normalization_66[0][0]
up_sampling2d_2 (UpSampling2D) (None, None, None, 1 0 leaky_re_lu_66[0][0]
concatenate_2 (Concatenate) (None, None, None, 3 0 up_sampling2d_2[0][0]
add_11[0][0]
conv2d_69 (Conv2D) (None, None, None, 1 49152 concatenate_2[0][0]
batch_normalization_67 (BatchNo (None, None, None, 1 512 conv2d_69[0][0]
leaky_re_lu_67 (LeakyReLU) (None, None, None, 1 0 batch_normalization_67[0][0]
conv2d_70 (Conv2D) (None, None, None, 2 294912 leaky_re_lu_67[0][0]
batch_normalization_68 (BatchNo (None, None, None, 2 1024 conv2d_70[0][0]
leaky_re_lu_68 (LeakyReLU) (None, None, None, 2 0 batch_normalization_68[0][0]
conv2d_71 (Conv2D) (None, None, None, 1 32768 leaky_re_lu_68[0][0]
batch_normalization_69 (BatchNo (None, None, None, 1 512 conv2d_71[0][0]
leaky_re_lu_69 (LeakyReLU) (None, None, None, 1 0 batch_normalization_69[0][0]
conv2d_72 (Conv2D) (None, None, None, 2 294912 leaky_re_lu_69[0][0]
batch_normalization_70 (BatchNo (None, None, None, 2 1024 conv2d_72[0][0]
leaky_re_lu_70 (LeakyReLU) (None, None, None, 2 0 batch_normalization_70[0][0]
conv2d_73 (Conv2D) (None, None, None, 1 32768 leaky_re_lu_70[0][0]
batch_normalization_71 (BatchNo (None, None, None, 1 512 conv2d_73[0][0]
leaky_re_lu_71 (LeakyReLU) (None, None, None, 1 0 batch_normalization_71[0][0]
conv2d_58 (Conv2D) (None, None, None, 1 4718592 leaky_re_lu_57[0][0]
conv2d_66 (Conv2D) (None, None, None, 5 1179648 leaky_re_lu_64[0][0]
conv2d_74 (Conv2D) (None, None, None, 2 294912 leaky_re_lu_71[0][0]
batch_normalization_58 (BatchNo (None, None, None, 1 4096 conv2d_58[0][0]
batch_normalization_65 (BatchNo (None, None, None, 5 2048 conv2d_66[0][0]
batch_normalization_72 (BatchNo (None, None, None, 2 1024 conv2d_74[0][0]
leaky_re_lu_58 (LeakyReLU) (None, None, None, 1 0 batch_normalization_58[0][0]
leaky_re_lu_65 (LeakyReLU) (None, None, None, 5 0 batch_normalization_65[0][0]
leaky_re_lu_72 (LeakyReLU) (None, None, None, 2 0 batch_normalization_72[0][0]
conv2d_59 (Conv2D) (None, None, None, 2 261375 leaky_re_lu_58[0][0]
conv2d_67 (Conv2D) (None, None, None, 2 130815 leaky_re_lu_65[0][0]
conv2d_75 (Conv2D) (None, None, None, 2 65535 leaky_re_lu_72[0][0]
Total params: 62,001,757
Trainable params: 61,949,149
Non-trainable params: 52,608
None
Saved Keras model to yolo.h5
Read 62001757 of 62001757.0 from Darknet weights.