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2018-02-15 09:45:05 -0600 | commented question | How to import Tensorflow's MobileNet into Opencv dnn? @dkurt After 3 days of trying, I'm still not able to build the graph transformation tool on Windows 10. Do you have any |
2018-02-13 02:08:13 -0600 | received badge | ● Enthusiast |
2018-02-12 04:33:46 -0600 | commented question | How to import Tensorflow's MobileNet into Opencv dnn? Here is a link to the output_graph.pb: https://drive.google.com/file/d/1F-p-pTrd8K3rEts0zdQIC3rms97myQyb/view?usp=sharin |
2018-02-12 04:32:27 -0600 | asked a question | How to import Tensorflow's MobileNet into Opencv dnn? How to import Tensorflow's MobileNet into Opencv dnn? Hi, I'm retraining Mobilenet using tensorflow's retrain.py script |
2018-02-05 04:05:09 -0600 | marked best answer | Opencv dnn import dropout layer error after finetuning Keras vgg16 Hi, A few days ago I asked a question about importing a pretrained keras vgg16 model into Opencv dnn [1]. Now I finetuned the vgg16 for my own application by excluding the existed imagenet head and adding a new head to the model. Below shows the "pseudocode" how it's done: Subsequently, I train the new model with my own data and export it similar to the answer of my previous question. However when I try to read the net into opencv, it returns a ImportError: I've read on github, there is a solution to include dropout layers (https://github.com/opencv/opencv/pull...). Do you have any suggestions on how to implement this with keras? Or am I just making it myself difficult using Keras on top of tensorflow. I have one more additional question: Do you ever plan to implement a readNetFromKeras(...) where a config.json and weights.h5 is given? Edit: Pbtxt file before (so flatten and dropout layers are included) (more) |
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2018-02-05 04:03:49 -0600 | commented answer | Opencv dnn import dropout layer error after finetuning Keras vgg16 The float32 fixed everything. Opencv is working fine now and I receive the expected results now. Thanks a lot :) |
2018-02-05 03:48:30 -0600 | commented answer | Opencv dnn import dropout layer error after finetuning Keras vgg16 @dkurt I tried your suggestions: 1) use the result image of blobFromImage both for tensorflow (transposing to (0,2,3,1) |
2018-02-05 03:48:01 -0600 | commented answer | Opencv dnn import dropout layer error after finetuning Keras vgg16 @dkurt I tried your suggestions: 1) use result of blobFromImage both for tensorflow (transposing to (0,2,3,1) and opencv |
2018-02-02 09:40:01 -0600 | commented answer | Opencv dnn import dropout layer error after finetuning Keras vgg16 True, Ill try to figure this out. Thanks for the responses and good luck with the further development of dnn |
2018-02-02 06:28:18 -0600 | commented answer | Opencv dnn import dropout layer error after finetuning Keras vgg16 @dkurt you're indicating that an input image for tensorflow and opencv are different after the preprocessing is done? |
2018-02-02 04:28:23 -0600 | commented answer | Opencv dnn import dropout layer error after finetuning Keras vgg16 Tensorflow code: # Read the graph. with tf.gfile.FastGFile('model.pb', 'rb') as f: graph_def = tf.GraphDef() gr |
2018-02-02 04:27:03 -0600 | commented answer | Opencv dnn import dropout layer error after finetuning Keras vgg16 Tensorflow code: with tf.Session() as sess: # Restore session sess.graph.as_default() tf.import_graph_def(g |
2018-02-02 04:26:32 -0600 | commented answer | Opencv dnn import dropout layer error after finetuning Keras vgg16 Using the code from the Test in your answer. The max absolute error is 1.937151e-07. Also the outputs are the same Outp |
2018-02-02 04:26:15 -0600 | commented answer | Opencv dnn import dropout layer error after finetuning Keras vgg16 Tensorflow code: with tf.Session() as sess: # Restore session sess.graph.as_default() tf.import_graph_def(g |
2018-02-02 04:22:18 -0600 | commented answer | Opencv dnn import dropout layer error after finetuning Keras vgg16 Using the code from the Test in your answer. The max absolute error is 1.937151e-07. Also the outputs are the same Outp |
2018-02-02 04:21:21 -0600 | commented answer | Opencv dnn import dropout layer error after finetuning Keras vgg16 Using the code from the Test in your answer. The max absolute error is 1.937151e-07. Also the outputs are the same Outp |
2018-02-02 02:52:53 -0600 | commented answer | Opencv dnn import dropout layer error after finetuning Keras vgg16 Results Tensorflow: [[1846 143 0 0 3] [ 4 281 18 0 1] [ 0 14 183 0 2] [ 0 0 |
2018-02-02 02:48:50 -0600 | commented answer | Opencv dnn import dropout layer error after finetuning Keras vgg16 GetLabels is own function to retrieve label indices from the imagepaths |
2018-02-02 02:46:26 -0600 | commented answer | Opencv dnn import dropout layer error after finetuning Keras vgg16 @dkurt thank you for your responses. I tested with tensorflow, and the results were as expected (same as in Keras). Howe |
2018-02-01 08:56:09 -0600 | commented question | Opencv dnn import dropout layer error after finetuning Keras vgg16 @dkurt I'm not sure I understand what you mean. I can't send all the code, but I'm sure I receive the expected results i |
2018-02-01 07:33:18 -0600 | commented question | Opencv dnn import dropout layer error after finetuning Keras vgg16 After this step I followed your instructions |
2018-02-01 07:32:17 -0600 | commented question | Opencv dnn import dropout layer error after finetuning Keras vgg16 Code to convert Keras to Tensorflow: jsonFile = open('vgg16.json', 'r') loadModelJson = jsonFile.read() model = model_f |
2018-02-01 07:32:05 -0600 | commented question | Opencv dnn import dropout layer error after finetuning Keras vgg16 Code to convert Keras to Tensorflow: jsonFile = open('modelweights_vgg16.json', 'r') loadModelJson = jsonFile.read() mo |
2018-02-01 07:31:24 -0600 | commented question | Opencv dnn import dropout layer error after finetuning Keras vgg16 jsonFile = open('modelweights_vgg16.json', 'r') loadModelJson = jsonFile.read() model = model_from_json(loadMode |
2018-02-01 07:31:05 -0600 | commented question | Opencv dnn import dropout layer error after finetuning Keras vgg16 jsonFile = open('vgg16.json', 'r') loadModelJson = jsonFile.read() model = model_from_json(loadModelJson) mo |
2018-02-01 07:30:32 -0600 | commented question | Opencv dnn import dropout layer error after finetuning Keras vgg16 jsonFile = open('vgg16.json', 'r') loadModelJson = jsonFile.read() model = model_from_json(loadModelJson |
2018-02-01 07:30:18 -0600 | commented question | Opencv dnn import dropout layer error after finetuning Keras vgg16 jsonFile = open('vgg16.json', 'r') loadModelJson = jsonFile.read() model = model_from_json(loadModelJson) mo |
2018-02-01 07:30:07 -0600 | commented question | Opencv dnn import dropout layer error after finetuning Keras vgg16 jsonFile = open('vgg16.json', 'r') loadModelJson = jsonFile.read() model = model_from_json(loadModelJson) mo |
2018-02-01 07:29:55 -0600 | commented question | Opencv dnn import dropout layer error after finetuning Keras vgg16 jsonFile = open('modelweights_vgg16.json', 'r') loadModelJson = jsonFile.read() model = model_from_json(loadMode |
2018-02-01 07:29:49 -0600 | commented question | Opencv dnn import dropout layer error after finetuning Keras vgg16 imports jsonFile = open('modelweights_vgg16.json', 'r') loadModelJson = jsonFile.read() model = model_from_json(loadMod |
2018-02-01 07:29:41 -0600 | commented question | Opencv dnn import dropout layer error after finetuning Keras vgg16 imports jsonFile = open('modelweights_vgg16.json', 'r') loadModelJson = jsonFile.read() model = model_from_json(loadMod |
2018-02-01 07:29:21 -0600 | commented question | Opencv dnn import dropout layer error after finetuning Keras vgg16 I use Keras on top of Tensorflow, so I test the results using Keras which is simply model.predict(image) for each image |
2018-02-01 07:28:55 -0600 | commented question | Opencv dnn import dropout layer error after finetuning Keras vgg16 I use Keras on top of Tensorflow, so I test the results using Keras which is simply model.predict(image) for each image |
2018-02-01 06:44:34 -0600 | commented question | Opencv dnn import dropout layer error after finetuning Keras vgg16 @dkurt I added a snippet of the .pbtxt file before and after the changes. |
2018-02-01 06:43:43 -0600 | edited question | Opencv dnn import dropout layer error after finetuning Keras vgg16 Opencv dnn import dropout layer error after finetuning Keras vgg16 Hi, A few days ago I asked a question about importin |
2018-02-01 05:49:02 -0600 | commented question | Opencv dnn import dropout layer error after finetuning Keras vgg16 Hey, I tried this already (if I remember correctly, you mentioned it in another github issue). So I removed every node w |
2018-02-01 05:32:53 -0600 | commented question | Opencv dnn import dropout layer error after finetuning Keras vgg16 Hey, I tried this already (if I remember correctly, you mentioned it in another github issue). So I removed every node w |
2018-02-01 04:32:04 -0600 | edited question | Opencv dnn import dropout layer error after finetuning Keras vgg16 Opencv dnn import dropout layer error after finetuning Keras vgg16 Hi, A few days ago I asked a question about importin |
2018-02-01 04:23:35 -0600 | commented question | Opencv dnn import dropout layer error after finetuning Keras vgg16 Here is link to the used .pb and .pbtxt file: https://drive.google.com/file/d/120G3pC5HTODj9N5zM8wZXVEA2O_G2MYQ/view?usp |
2018-02-01 04:20:20 -0600 | asked a question | Opencv dnn import dropout layer error after finetuning Keras vgg16 Opencv dnn import dropout layer error after finetuning Keras vgg16 Hi, A few days ago I asked a question about importin |
2018-01-30 07:50:25 -0600 | marked best answer | Opencv dnn import error for keras pretrained Vgg16 model Hi, I'm trying to export the keras pretrained VGG16 model to a tensorflow model and then I want to import the tensorflow model into opencv. To do this, I got the following python code: Executing this code, gives following error (similar in C++): When I'm not including the top, I don't receive this error message. Do you have any suggestions? |
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