culturevis / imageplot Goto Github PK

I'm not sure if this is an ImagePlot or ImageJ issue, but I can't seem to find how to adjust the size of my rendered thumbnails. Both working with the sample data and my own data, the thumbnails are tiny. The documentation explains how to adjust this, but the newer version has changed and I can't seem to find the setting. Any suggestions would be most welcome! (image attached for reference).

Hi, all. I'm trying to up my memory in ImageJ (Edit > Options > Memory & Thread), but when I do, I'm getting an error message. I think it's saying that the directory is read-only, but I've tried running ImageJ in several different writeable directories (Desktop, Apps, Downloads) and I keep getting the same error.

Any suggestions?

I just downloaded ImagePlot for the first time and tried to run it on the sample files (plotting the Mondrian images). Attempts to run it result in the following error messages:

ImageJ 1.47t; Java 1.6.0_65 [32-bit]; Mac OS X 10.9.5; 5229K of 400MB (1%)

java.lang.OutOfMemoryError: Java heap space
    at ij.gui.NewImage.createRGBImage(NewImage.java:158)
    at ij.gui.NewImage.createImage(NewImage.java:296)
    at ij.IJ.createImage(IJ.java:1822)
    at ij.IJ.newImage(IJ.java:1879)
    at ij.macro.Functions.newImage(Functions.java:2803)
    at ij.macro.Functions.doFunction(Functions.java:153)
    at ij.macro.Interpreter.doStatement(Interpreter.java:219)
    at ij.macro.Interpreter.doStatements(Interpreter.java:207)
    at ij.macro.Interpreter.run(Interpreter.java:104)
    at ij.macro.Interpreter.run(Interpreter.java:74)
    at ij.macro.MacroRunner.run(MacroRunner.java:130)
    at java.lang.Thread.run(Thread.java:695)

I have a fairly high-performance MacBook Air with OS X 10.9.5 and 8 GB of RAM. What kind of memory requirements does ImagePlot have that result in this?

Hi,

The README states that Linux uses should "double click" on a file called "run" in the ImageJ folder. I would be glad to do that, but there is no such file in the ImageJ folder.

Zach

Hello!

I've successfully run the measurement macros on my images, but when I get the results back, the file names are not retained. There's an ID for each output, but it's not associated with an image name. Any thoughts on what I may be doing wrong?

Thanks!!

Wendy

Results.xlsx

while plotting a new image set based on the brightness or hue or ... (any image property) this error will pop up:

Index (8) out of 0-5 range in line 1556.
y = parseFloat ( items [y_col <}> );

here is the debug information:

GUI_mode (g) 1
images_flag (g) 1
image_paths_flag (g) 0
config_flag (g) 1
images_config_flag (g) 0
images_frames_flag (g) 0
points_flag (g) * 1
points_config_flag (g) * 1
lines_flag (g) 0
lines_config_flag (g) 0
images_blend_flag (g) 0
images_smoothing_flag (g) 0
x_fixed_flag (g) 0
y_fixed_flag (g) 1
points_values_flag (g) 0
points_series_flag (g) 0
axis_x_flag (g) 1
axis_y_flag (g) 1
axis_config_flag (g) 1
labels_config_flag (g) 0
range_config_flag (g) 1
x_labels_flag (g) 1
y_labels_flag (g) 1
canvas_config_flag (g) 1
mult_series_flag (g) 0
series_label_flag (g) 0
ellipse_width_flag (g) 0
ellipse_height_flag (g) 0
label_step_flag (g) 0
label_count_flag (g) 1
save_files_flag (g) 0
save_thumbs_flag (g) 0
save_when_done_flag (g) 0
imageName (g) ""
path (g) "/Users/XX/Desktop/Instagram_API/result.csv"
dir (g) "/Users/XX/Desktop/Instagram_API/Images Sat18oct/"
dir_anim (g) ""
dir_thumbs (g) ""
data_file (g) "/Users/XX/Desktop/Instagram_API/result.csv"
data_file_prev (g) "/Users/XX/Desktop/Instagram_API/result.csv"
data_file_prev_label (g) "../result.csv"
data_file_list (g) array[2]
image_dir (g) "/Users/XX/Desktop/Instagram_API/Images Sat18oct/"
image_dir_prev (g) "/Users/XX/Desktop/Instagram_API/Images Sat18oct/"
image_dir_prev_label (g) "../Images Sat18oct"
image_dir_list (g) array[4]
render_mode (g) "during rendering"
render_mode_list (g) array[2]
render_order (g) "Axes / Lines / Images+Labels"
render_order_list (g) array[11]
canvas_width (g) 8192
canvas_height (g) 4608
border (g) 210
image_resize_width (g) 100
point_size (g) 64
line_width (g) 4
frames_width (g) 10
label_size (g) 32
labels_precision (g) 1
canvas_colorspace (g) "RGB"
ellipse_width (g) 10
ellipse_height (g) 10
x_scale (g) 4
y_scale (g) 4
x_axis_start (g) 0
x_axis_end (g) 0
y_axis_start (g) * -10
y_axis_end (g) * 150
origin (g) array[3]
ln_end (g) array[3]
points_style_choice (g) "Circle Filled"
points_style_list (g) array[7]
colors (g) array[24]
color_scale (g) 1
points_color (g) array[3]
labels_color (g) array[3]
lines_color (g) array[3]
frames_color (g) array[3]
fill_bg_color (g) array[3]
colColor (g) array[3]
points_color_choice (g) "Manual"
labels_color_choice (g) "Manual"
lines_color_choice (g) "Manual"
frames_color_choice (g) "Manual"
points_channel_choice (g) "None"
points_scale_choice (g) "None"
labels_channel_choice (g) "None"
labels_scale_choice (g) "None"
lines_channel_choice (g) "None"
lines_scale_choice (g) "None"
frames_channel_choice (g) "None"
frames_scale_choice (g) "None"
column_color_list (g) array[4]
labels_txt_str (g) "None"
labels_series_str (g) "None"
ds_labels (g) array[500]
axis_label_size (g) 32
axis_color (g) array[3]
axis_line_width (g) 10
axis_tick_length (g) 30
x_label_step (g) 10
x_label_count (g) 10
y_label_step (g) 10
y_label_count (g) 10
dmax (g) 1
ds (g) 1
image_path_col (g) 2
x_col (g) 3
y_col (g) * 8
series_col (g) 3
series_label_col (g) 4
points_color_col (g) 0
lines_color_col (g) 0
labels_color_col (g) 0
labels_text_col (g) 0
ellipse_width_col (g) 0
ellipse_height_col (g) 0
frames_color_col (g) 0
uniqueNames (g) "hue_stdev (Column12)"
fit_zoom (g) 1
width_fit_ratio (g) 5.6889
height_fit_ratio (g) 5.1200
text "mediaid,userid,filename,created_time,lon,lat ,imageID,brightness_median,brightne..."
lines array[2268]
items array[6]
col_choices_names array[14]
col_choices array[14]
col_choices_b array[14]
i 42
raw_data array[2267]
columns 13
coldefi 1
coldefx 2
coldefy 3
coldefd 4
imagecol_str "filename (Column2)"
xcol_str "created_time (Column3)"
ycol_str * "brightness_stdev (Column8)"
data_series_str "None"
ellipse_width_str * ""
ellipse_height_str * ""
temp * "total no. of labels"
xmin * 2458
xmax * 61434
ymin * 13.6280
ymax * 111.1390
points_color_max * NaN
lines_color_max * NaN
labels_color_max * NaN
frames_color_max * NaN
x * 61517
y * 63.2918
pts_color * NaN
lns_color * NaN
lbls_color * NaN
frms_color * NaN

there is not mention on the changes of the huge visual output of the v2 vs v1 of imagePlot I think it was in the configurations to work in the radial shapes vs rectangles. and if it´s in the configuration I couldn´t find it anywhere in the documentation.

I'm using this macro on a batch of instagram photos and it seems that on some photos (apparently some black and white photos) it gives me this error and stops calculating the measures for the rest of the files:

Row (90) out of range in line 61.
brightness_median = getResult ("Median", i * 3 <)> ;

Here is the debug information:

FreeMemory() * 43MB of 658MB (6%)
nImages() 4
getTitle() "Brightness"
dir "/Users/XX/Desktop/Instagram/Images Sat18oct/"
list array[1601]
savedir "/Users/XX/Desktop/Instagram/Images Sat18oct/"
f "0"
i 30
path "/Users/XX/Desktop/Instagram/Images Sat18oct/061cf966380611e397fd22000ae91..."
id * -531
image_ID 31
brightness_median 120
brightness_stdev 75.0888
saturation_median 140
saturation_stdev 74.1666
hue_median 174
hue_stdev 84.4451