Open ardeal opened 8 years ago
@ardeal Sorry, I don't have a trained model. I may also change the details of the source code. However, the code at this time should work well.
I should prepare training images and parameters to train a new model, right? According to your experiments, what image datasets are used to train the model? Did you get the same performance with the output of the paper?
You should prepare much more data than the paper described. You also need a very powerful machine with many cpu cores to run the algorithm.
Since my lack of these resources, I don't have a well trained model yet. I do collect many training data but don't have a powerful enough machine to handle the data. So, I decide to share the data recently :)
Could you please share the data format in the following files? how is the data organized in ../data/face.txt and others?
"data": {
"use_hard": false,
"face": "../data/face.txt",
"background": ["../data/hd.txt", "../data/background1.txt", "../data/background2.txt"],
"test": "../data/test.txt"
},
They are described in README
Hi, in Cart::SplitNodeWithRegression function of cart.cpp file:
int threshold_ = pos_feature_sorted(0, int(pos_n*rng.uniform(0.1, 0.9)));
You got the split threshold by a random way, is this reasonable? or, did you do this according any theory or paper or book?
I am trying to train the algorithm with 76 pos samples and 1671 neg samples. I merely want to verify whether the code works correctly. but I got the following output all the time: [05/09/16 - 16:44:39] Run out of background images [05/09/16 - 16:44:39] Reset current_idx and restart, reset times = 30 [05/09/16 - 16:44:39] Current augment parameters, should flip = 1, rotation angle = 180
Did you encounter the same issue?
where is the model file? Do you have the updated final version release?