AI 포트폴리오 만들기 - Airbnb 클론 프로젝트대시보드

woohakim@naver.com 강의자료 부탁드립니다! 감사합니다.

강의자료 요청합니다! soultab@naver.com입니다!

안녕하세요! 강의 자료 받는 곳이 없는 듯합니다.강의자료 요청드립니다.yumesaka@gmail.com감사합니다

paul1142@naver.com 입니다! 감사합니다!

안녕하세요! 이번에 새로 강의 듣게 되었습니다강의 자료 메일로 요청드립니다.kd03100@naver.com

안녕하세요! 강의자료 요청드립니다. dlgpqls98@naver.com

강사님이 제공하는 oid_30_class_train.record/val.record를 제외하고일반적으로 tf_record를 생성해서 코랩에서 학습을 하면 Loss/box/scale이 0이고 나오고, 나머지 값도 굉장히 낮게 나옵니다. 굉장히 큰 문제라고 생각합니다. 코드 수정 or 왜 이런지 알 수 있을까요?최종 평가까지 전부 해서 0이 나옵니다.

안녕하세요 실습 7에서 에러가 너무 많이 나서 글을 올립니다.천천히 찾아보니 검증 "!python object_detection/builders/model_builder_tf2_test.py" 부터 문제가 있더군요 처음에는" No module named 'object_detection' " 라 나옵니다.인터넷에서 "pip install tensorflow-object-detection-api" 하라 해서 했더니 "module 'tensorflow' has no attribute 'contrib'" 에러가 나옵니다. 이 에러는 버전을 1.xx 로 내려야 해결 된다는데 다른 버전 차이 때문에 버전을 2.7로 써야하는걸로 알고 있습니다. 이 오류들을 해결하지 않으면 아래 최종코드에서 똑같은 문제가 생깁니다.혹시 방법이 있을까요?

아래 코드들을 실행할 때 오류가 있어 문의드립니다. 1) !python -m pip install --use-feature=2020-resolver . dependency conflicts 관련 에러가 뜹니다 2) 이후 test.py 실행 코드 tensorflow.python.keras.applications 모듈이 없다고 뜹니다. 강의내용대로 ok가 나오지 않습니다 3) tfrecode파일 생성 부분 몇몇 .xml파일을 찾을 수 없어 무시한다는 알람이 뜹니다 4) 이후 main.py 실행 부분 (텐서플로 2.7버전으로 해도 에러가 납니다) numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject 에러가 납니다

- 학습 관련 질문을 남겨주세요. 상세히 작성하면 더 좋아요! - 먼저 유사한 질문이 있었는지 검색해보세요. - 서로 예의를 지키며 존중하는 문화를 만들어가요. - 잠깐! 인프런 서비스 운영 관련 문의는 1:1 문의하기를 이용해주세요.   안녕하세요! 강의자료 요청드립니다. choinjeong@naver.com

- 학습 관련 질문을 남겨주세요. 상세히 작성하면 더 좋아요! - 먼저 유사한 질문이 있었는지 검색해보세요. - 서로 예의를 지키며 존중하는 문화를 만들어가요. - 잠깐! 인프런 서비스 운영 관련 문의는 1:1 문의하기를 이용해주세요.   이번에 새로 수강신청한 수강생인데, 강의자료 부탁합니다~   감사합니다. anwjrehs@naver.com

-실습7에서 amenity detection trainging을 실습하고 있습니다. 며칠쨰 해보는데 model_main_tf2.py에서 오류가 떠서 training이 안됩니다.   될수 있는 방법이 없나요...

강의코드를 그대로 구현할시 !python -m pip install --use-feature=2020-resolver . 여기서 일단 설치가 완벽하게 안됩니다. 아래에러코드, 무시하고 진행해도 되는거 같지만 일단 완벽하게 진행하려고 저같은 경우는 ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. yellowbrick 1.3.post1 requires numpy<1.20,>=1.16.0, but you have numpy 1.21.5 which is incompatible. multiprocess 0.70.12.2 requires dill>=0.3.4, but you have dill 0.3.1.1 which is incompatible. gym 0.17.3 requires cloudpickle<1.7.0,>=1.2.0, but you have cloudpickle 2.0.0 which is incompatible. google-colab 1.0.0 requires requests~=2.23.0, but you have requests 2.27.1 which is incompatible. datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible. albumentations 0.1.12 requires imgaug<0.2.7,>=0.2.5, but you have imgaug 0.2.9 which is incompatible. !pip install h5py !pip install typing-extensions !pip install wheel 위의 코드를 실행하고 진행하였구요 이상태로 진행하면  test 코드에서 아래 에러가 발생하고 ModuleNotFoundError: No module named 'tensorflow.python.keras.applications' tensorflow 2.7버전으로 바꾸고 실행하면 진행됩니다 그후에 모델링 학습을 하게되면 tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found. (0) UNKNOWN: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above. [[node center_net_hourglass_feature_extractor/hourglass_network/input_downsample_block/convolutional_block/conv2d/Conv2D (defined at /usr/local/lib/python3.7/dist-packages/keras/layers/convolutional.py:238) ]] [[Identity_321/_240]] (1) UNKNOWN: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above. [[node center_net_hourglass_feature_extractor/hourglass_network/input_downsample_block/convolutional_block/conv2d/Conv2D (defined at /usr/local/lib/python3.7/dist-packages/keras/layers/convolutional.py:238) ]] 0 successful operations. 0 derived errors ignored. [Op:__inference__dist_train_step_86045] Errors may have originated from an input operation. Input Source operations connected to node center_net_hourglass_feature_extractor/hourglass_network/input_downsample_block/convolutional_block/conv2d/Conv2D: In[0] center_net_hourglass_feature_extractor/hourglass_network/input_downsample_block/convolutional_block/zero_padding2d/Pad (defined at /usr/local/lib/python3.7/dist-packages/keras/backend.py:3672) In[1] center_net_hourglass_feature_extractor/hourglass_network/input_downsample_block/convolutional_block/conv2d/Conv2D/ReadVariableOp: Operation defined at: (most recent call last) >>> File "/usr/lib/python3.7/threading.py", line 890, in _bootstrap >>> self._bootstrap_inner() >>> >>> File "/usr/lib/python3.7/threading.py", line 926, in _bootstrap_inner >>> self.run() >>> >>> File "/usr/local/lib/python3.7/dist-packages/object_detection/model_lib_v2.py", line 593, in train_step_fn >>> loss = eager_train_step( >>> >>> File "/usr/local/lib/python3.7/dist-packages/object_detection/model_lib_v2.py", line 253, in eager_train_step >>> losses_dict, _ = _compute_losses_and_predictions_dicts( >>> >>> File "/usr/local/lib/python3.7/dist-packages/object_detection/model_lib_v2.py", line 118, in _compute_losses_and_predictions_dicts >>> prediction_dict = model.predict( >>> >>> File "/usr/local/lib/python3.7/dist-packages/object_detection/meta_architectures/center_net_meta_arch.py", line 2847, in predict >>> features_list = self._feature_extractor(preprocessed_inputs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py", line 64, in error_handler >>> return fn(*args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/engine/base_layer.py", line 1083, in __call__ >>> outputs = call_fn(inputs, *args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py", line 92, in error_handler >>> return fn(*args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/object_detection/models/center_net_hourglass_feature_extractor.py", line 53, in call >>> return self._network(inputs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py", line 64, in error_handler >>> return fn(*args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/engine/base_layer.py", line 1083, in __call__ >>> outputs = call_fn(inputs, *args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py", line 92, in error_handler >>> return fn(*args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/object_detection/models/keras_models/hourglass_network.py", line 431, in call >>> if self.initial_downsample: >>> >>> File "/usr/local/lib/python3.7/dist-packages/object_detection/models/keras_models/hourglass_network.py", line 432, in call >>> inputs = self.downsample_input(inputs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py", line 64, in error_handler >>> return fn(*args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/engine/base_layer.py", line 1083, in __call__ >>> outputs = call_fn(inputs, *args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py", line 92, in error_handler >>> return fn(*args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/object_detection/models/keras_models/hourglass_network.py", line 174, in call >>> return self.residual_block(self.conv_block(inputs)) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py", line 64, in error_handler >>> return fn(*args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/engine/base_layer.py", line 1083, in __call__ >>> outputs = call_fn(inputs, *args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py", line 92, in error_handler >>> return fn(*args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/object_detection/models/keras_models/hourglass_network.py", line 94, in call >>> net = self.conv(net) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py", line 64, in error_handler >>> return fn(*args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/engine/base_layer.py", line 1083, in __call__ >>> outputs = call_fn(inputs, *args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py", line 92, in error_handler >>> return fn(*args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/layers/convolutional.py", line 246, in call >>> outputs = self.convolution_op(inputs, self.kernel) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/layers/convolutional.py", line 238, in convolution_op >>> name=self.__class__.__name__) >>> Input Source operations connected to node center_net_hourglass_feature_extractor/hourglass_network/input_downsample_block/convolutional_block/conv2d/Conv2D: In[0] center_net_hourglass_feature_extractor/hourglass_network/input_downsample_block/convolutional_block/zero_padding2d/Pad (defined at /usr/local/lib/python3.7/dist-packages/keras/backend.py:3672) In[1] center_net_hourglass_feature_extractor/hourglass_network/input_downsample_block/convolutional_block/conv2d/Conv2D/ReadVariableOp: Operation defined at: (most recent call last) >>> File "/usr/lib/python3.7/threading.py", line 890, in _bootstrap >>> self._bootstrap_inner() >>> >>> File "/usr/lib/python3.7/threading.py", line 926, in _bootstrap_inner >>> self.run() >>> >>> File "/usr/local/lib/python3.7/dist-packages/object_detection/model_lib_v2.py", line 593, in train_step_fn >>> loss = eager_train_step( >>> >>> File "/usr/local/lib/python3.7/dist-packages/object_detection/model_lib_v2.py", line 253, in eager_train_step >>> losses_dict, _ = _compute_losses_and_predictions_dicts( >>> >>> File "/usr/local/lib/python3.7/dist-packages/object_detection/model_lib_v2.py", line 118, in _compute_losses_and_predictions_dicts >>> prediction_dict = model.predict( >>> >>> File "/usr/local/lib/python3.7/dist-packages/object_detection/meta_architectures/center_net_meta_arch.py", line 2847, in predict >>> features_list = self._feature_extractor(preprocessed_inputs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py", line 64, in error_handler >>> return fn(*args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/engine/base_layer.py", line 1083, in __call__ >>> outputs = call_fn(inputs, *args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py", line 92, in error_handler >>> return fn(*args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/object_detection/models/center_net_hourglass_feature_extractor.py", line 53, in call >>> return self._network(inputs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py", line 64, in error_handler >>> return fn(*args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/engine/base_layer.py", line 1083, in __call__ >>> outputs = call_fn(inputs, *args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py", line 92, in error_handler >>> return fn(*args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/object_detection/models/keras_models/hourglass_network.py", line 431, in call >>> if self.initial_downsample: >>> >>> File "/usr/local/lib/python3.7/dist-packages/object_detection/models/keras_models/hourglass_network.py", line 432, in call >>> inputs = self.downsample_input(inputs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py", line 64, in error_handler >>> return fn(*args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/engine/base_layer.py", line 1083, in __call__ >>> outputs = call_fn(inputs, *args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py", line 92, in error_handler >>> return fn(*args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/object_detection/models/keras_models/hourglass_network.py", line 174, in call >>> return self.residual_block(self.conv_block(inputs)) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py", line 64, in error_handler >>> return fn(*args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/engine/base_layer.py", line 1083, in __call__ >>> outputs = call_fn(inputs, *args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py", line 92, in error_handler >>> return fn(*args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/object_detection/models/keras_models/hourglass_network.py", line 94, in call >>> net = self.conv(net) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py", line 64, in error_handler >>> return fn(*args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/engine/base_layer.py", line 1083, in __call__ >>> outputs = call_fn(inputs, *args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py", line 92, in error_handler >>> return fn(*args, **kwargs) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/layers/convolutional.py", line 246, in call >>> outputs = self.convolution_op(inputs, self.kernel) >>> >>> File "/usr/local/lib/python3.7/dist-packages/keras/layers/convolutional.py", line 238, in convolution_op >>> name=self.__class__.__name__) >>> Function call stack: _dist_train_step -> _dist_train_step 위의 에러가 발생합니다. tensorflow 버전 변경 및 cuda 버전을 바꾸는등 해보는데 해결이 안되네요....      

!pip show tensorflow   2.8로 나왔을 때 오류 뜸     !pip install tensorflow==2.7 이렇게로 바꿔주면 됨

버전 문제인지 모델학습과 평가가 되지 않습니다

jajinmori1@naver.com

강사님 안녕하세요. 괜찮으시다면 강의 자료를 부탁드려도 될까요? rlatjddnd3@gmail.com 입니다. 감사합니다!

강의 자료 요청합니다!! clickshn4958@gmail.com

CenterNet 같은 경우도 같은 object 클래스에 대해서 중복되는 center 값을 예측할 수 있는 것 아닌가요?

깃허브 포스트에 영상이나 gif 넣을 수 있나요?? 있다면 방법 알려주세요!