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mvoelk / ssd_detectors

SSD-based object and text detection with Keras, SSD, DSOD, TextBoxes, SegLink, TextBoxes++, CRNN
MIT License
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about environment set (tf version?) #46

Open hongyinjie opened 4 years ago

hongyinjie commented 4 years ago

environment set1: (use tf2， follow the environment.ipynb) OS debian stretch/sid Python 3.7.4 NumPy 1.17.2 Pandas 1.0.4 Matplotlib 3.2.1 OpenCV 3.4.3 TensorFlow 2.0.0-beta1 Keras 2.2.4-tf tqdm 4.46.1 imageio 2.6.1

environment set2: OS debian stretch/sid Python 3.7.5 NumPy 1.18.0 Pandas 0.25.3 Matplotlib 3.2.1 OpenCV 3.4.3 TensorFlow 1.15.0 Keras 2.2.4-tf tqdm 4.41.1 imageio 2.8.0

when use set1: it run wrong in PriorUtil:

Traceback (most recent call last): File "/mnt/downloads/github_src/ssd_detectors/SSD_predict.py", line 40, in prior_util = PriorUtil(model) File "/mnt/downloads/github_src/ssd_detectors/ssd_utils.py", line 353, in init self.update_priors() File "/mnt/downloads/github_src/ssd_detectors/ssd_utils.py", line 375, in update_priors m.compute_priors() File "/mnt/downloads/github_src/ssd_detectors/ssd_utils.py", line 193, in compute_priors linx = np.array([(0.5 + i) for i in range(map_w)]) * step_x TypeError: 'NoneType' object cannot be interpreted as an integer

Traceback (most recent call last): File "/mnt/downloads/github_src/ssd_detectors/SL_end2end_predict.py", line 41, in prior_util = PriorUtil(model) File "/mnt/downloads/github_src/ssd_detectors/sl_utils.py", line 45, in init if i > 0 and np.all(np.array(previous_map_size) != np.array(map_size)2): TypeError: unsupported operand type(s) for : 'NoneType' and 'int'

when use set2 SSD_predict and SL_predict it works well.

but alse print that:

layer missing zero_padding2d_5 file []

what is wrong...

when use set2 run

layer missing reshape_1 file [] something went wrong bidirectional_1 model [[512, 1024], [256, 1024], [1024], [512, 1024], [256, 1024], [1024]] file [(512, 768), (256, 768), (768,), (512, 768), (256, 768), (768,)] Layer weight shape (512, 1024) not compatible with provided weight shape (512, 768) layer missing bidirectional_2 file [(512, 768), (256, 768), (768,), (512, 768), (256, 768), (768,)] layer missing label_input file [] layer missing input_length file [] layer missing label_length file [] layer missing ctc file []

Traceback (most recent call last): File "/mnt/downloads/github_src/ssd_detectors/SL_end2end_predict.py", line 152, in res_crnn = crnn_model.predict(words) File "/home/hyj/anaconda3/envs/py37tf15/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training.py", line 908, in predict use_multiprocessing=use_multiprocessing) File "/home/hyj/anaconda3/envs/py37tf15/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_arrays.py", line 723, in predict callbacks=callbacks) File "/home/hyj/anaconda3/envs/py37tf15/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_arrays.py", line 394, in model_iteration batch_outs = f(ins_batch) File "/home/hyj/anaconda3/envs/py37tf15/lib/python3.7/site-packages/tensorflow_core/python/keras/backend.py", line 3476, in call run_metadata=self.run_metadata) File "/home/hyj/anaconda3/envs/py37tf15/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1472, in call run_metadata_ptr) tensorflow.python.framework.errors_impl.InternalError: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(3, 512), b.shape=(512, 256), m=3, n=256, k=512 [[{{node bidirectional/forward_lstm_1/while/MatMul}}]] [[softmax/truediv/_209]] (1) Internal: Blas GEMM launch failed : a.shape=(3, 512), b.shape=(512, 256), m=3, n=256, k=512 [[{{node bidirectional/forward_lstm_1/while/MatMul}}]] 0 successful operations. 0 derived errors ignored.

thank you !

mvoelk commented 4 years ago

layer missing zero_padding2d_5

You can ignore this message. We do not need a extra layer for padding :)

The master branch is up to date for TF 2.x. I'm not sure, 2.0.0-beta1 may be too low. You could try to update to 2.2, what could be painful on Stretch. The tf1 branch should run with TF 1.15 and Keras, not TF-Keras. You can ignore the tf2 branch.

hongyinjie commented 4 years ago

layer missing zero_padding2d_5

You can ignore this message. We do not need a extra layer for padding :)

The master branch is up to date for TF 2.x. I'm not sure, 2.0.0-beta1 may be too low. You could try to update to 2.2, what could be painful on Stretch. The tf1 branch should run with TF 1.15 and Keras, not TF-Keras. You can ignore the tf2 branch.

thank you very much! I will try it immediately