X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/myo-class.git/blobdiff_plain/bdfe02afe03428e59b3c85b6cae19d579d82f55c..refs/heads/master:/topng.py?ds=inline diff --git a/topng.py b/topng.py index fde569b..672fd6d 100644 --- a/topng.py +++ b/topng.py @@ -27,6 +27,7 @@ INPUT_DIR = '../../Data/Images_anonymous/Case_0002/' OUT_DIR = './generated/' CROP_SIZE = (45, 45) # (width, height) +EPI_MIN_PIXELS = 30 * 30 # nombre pixels minimal pour considérer un epicardic, else on ignore, 30 * 30, vu que c'est carré RED_COLOR = 100 def roundall(*l): @@ -108,6 +109,43 @@ def getxy(file): return np.array(tmp, dtype=np.int32) # return tmp +def getimgname(file): + """ + { + 'Image00001': [{ + 'color': '#ff0000', + 'points': [ + {'x': 94.377, 'y': 137.39}, + {'x': 100.38, 'y': 139.55}, + {'x': 103.26, 'y': 142.67}, + {'x': 105.91, 'y': 147.95}, + {'x': 105.42, 'y': 152.76}, + {'x': 100.62, 'y': 156.84}, + {'x': 95.338, 'y': 159.96}, + {'x': 89.573, 'y': 158.52}, + {'x': 84.53, 'y': 153}, + {'x': 82.848, 'y': 149.15}, + {'x': 82.368, 'y': 142.91}, + {'x': 85.01, 'y': 138.11}, + {'x': 89.813, 'y': 137.39}, + {'x': 94.377, 'y': 137.39} + ] + }] + } + return 'Image00001' or return '' + """ + imgXXX = None + # print("file", file) + with open(file) as jsonfile: + data = json.load(jsonfile) + if len(data) > 1: + print("more than one image in same json") + # print("data") + # pprint(data) + for imgXXX in data: pass # get the value of key ~= "Image00001", cause it's dynamic + return imgXXX + + def minmax(file): r = getxy(file) if r is not None: @@ -285,7 +323,7 @@ def readpng(inputfile):# just a specific func to preview a "shape = (X,Y,3)" ima for i, row in enumerate(tab): print(row[0]*65536 + row[0]*256 + row[0], end=" " if i % image.shape[0] != 0 else "\n") -def topng(inputfile, outfile=None, overwrite=True, verbose=False, epimask='', endomask='', centercrop=None, blackmask=False, square=False, redcontour=False): +def topng(inputfile, outfile=None, overwrite=True, verbose=False, epimask='', endomask='', centercrop=None, blackmask=False, square=False, redcontour=False, epiminpixels=-1): """ (verbose) return (64, 64) : the width and height (not verbose) return (img, dicimg) : the image and the dicimg objects @@ -348,9 +386,18 @@ def topng(inputfile, outfile=None, overwrite=True, verbose=False, epimask='', en if endomask: img = hollowmask(img, epimask, endomask) else: + # ignore small epicardic --<< + xmin, ymin, xmax, ymax = minmax(epimask) + pixels = (xmax - xmin) * (ymax - ymin) + if pixels <= epiminpixels: + print( "small epicardic ({}), ignored!".format(inputfile.split('/')[-1]) ) + return + # ignore small epicardic -->> + img = mask(img, epimask) if centercrop: + img = crop(img, epimask, centercrop) @@ -376,6 +423,7 @@ def topng(inputfile, outfile=None, overwrite=True, verbose=False, epimask='', en # np.savetxt(savepath + '.npy', img) # test >> + if np.count_nonzero(img) > 0: # matrix not full of zero cv2.imwrite(savepath, img, [cv2.IMWRITE_PNG_COMPRESSION, 0]) # write png image