c7a53c5c8f87dea0a75feb3f8e19dc6fa495e1e7,plantcv/plantcv/visualize/auto_threshold_methods.py,,thresholds,#,16

Before Change


    // If original_img is True then also plot the original image with the rest of them
    if original_img:
        converted_gray_img = cv2.cvtColor(gray_img, cv2.COLOR_GRAY2RGB)
        plotting_img = np.hstack([converted_gray_img, plotting_img])
    plotting_img = resize(plotting_img,  resize_x=.5, resize_y=.5)

    // Reset debug mode

After Change


    if grid_img:
        // Compile images together into one
        top_row = np.hstack([labeled_imgs[0], labeled_imgs[1]])
        bot_row = np.hstack([labeled_imgs[2], labeled_imgs[3]])
        plotting_img = np.vstack([top_row, bot_row])
        plotting_img = resize(plotting_img, resize_x=.5, resize_y=.5)

        if params.debug == "print":
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 4

Non-data size: 3

Instances


Project Name: danforthcenter/plantcv
Commit Name: c7a53c5c8f87dea0a75feb3f8e19dc6fa495e1e7
Time: 2020-03-24
Author: haleyschuhl@gmail.com
File Name: plantcv/plantcv/visualize/auto_threshold_methods.py
Class Name:
Method Name: thresholds


Project Name: suavecode/SUAVE
Commit Name: 3faab1936bb843504bf20f9d4011187f9e20cabf
Time: 2018-10-31
Author: mclarke2@stanford.edu
File Name: trunk/SUAVE/Analyses/Aerodynamics/AVL_Inviscid.py
Class Name: AVL_Inviscid
Method Name: sample_training


Project Name: utiasSTARS/liegroups
Commit Name: 9171e6361d28675f0a6640a703bc831b8dbc80a6
Time: 2016-10-13
Author: clement.leopold@gmail.com
File Name: liegroups/se2.py
Class Name: SE2
Method Name: adjoint


Project Name: rasbt/mlxtend
Commit Name: a3a539ed60af074ea3459835c788c2e900f3d8c1
Time: 2019-03-31
Author: ackerleytng@gmail.com
File Name: mlxtend/classifier/stacking_cv_classification.py
Class Name: StackingCVClassifier
Method Name: predict_meta_features