我们从Python开源项目中，提取了以下50个代码示例，用于说明如何使用Image.open()。
def convert(width,height): im = Image.open("C:\\xxx\\test.jpg") out = im.resize((width, height),Image.ANTIALIAS) out.save("C:\\xxx\\test.jpg")
def play(self, sender): # self.mode = console.alert('Race mode', # button1='1. Blind draw', # button2='2. Timed vectors' # ) self.hide_all() #self.show_play_menu() dialog self.show_edit_view() self.load_actual(burn_waypoints_in=True) with io.BytesIO(self.edit_view.img.to_png()) as fp: playfield = pilImage.open(fp).resize((int(self.bg.width), int(self.bg.height))).load() for layer in self.play_layers: layer.set_map(self.edit_view.waypoints, playfield, self.multiplier) self.show_play_layers() self.turn = -1 self.next_turn()
def load_texture(image_file, repeat=False): """Carga una textura desde un archivo image_file""" img = Image.open(image_file) data = numpy.array(list(img.getdata()), numpy.int8) tex = glGenTextures(1) glPixelStorei(GL_UNPACK_ALIGNMENT, 1) glBindTexture(GL_TEXTURE_2D, tex) if repeat: glTexParameterf(GL_TEXTURE_2D, GL_TEXTURE_WRAP_S, GL_REPEAT) glTexParameterf(GL_TEXTURE_2D, GL_TEXTURE_WRAP_T, GL_REPEAT) else: glTexParameterf(GL_TEXTURE_2D, GL_TEXTURE_WRAP_S, GL_CLAMP) glTexParameterf(GL_TEXTURE_2D, GL_TEXTURE_WRAP_T, GL_CLAMP) glTexParameterf(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_LINEAR) glTexParameterf(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_LINEAR) glTexImage2D(GL_TEXTURE_2D, 0, GL_RGB, img.size[0], img.size[1], 0, GL_RGB, GL_UNSIGNED_BYTE, data) glTexEnvf(GL_TEXTURE_ENV, GL_TEXTURE_ENV_MODE, GL_MODULATE) return tex
def get_colors(f, do_shuffle=True): try: import Image except Exception: from PIL import Image scale = 1./255. im = Image.open(f) data = list(im.convert('RGB').getdata()) res = [] for r,g,b in data: res.append([r*scale,g*scale,b*scale]) if do_shuffle: from numpy.random import shuffle shuffle(res) return res
def get_colors_from_file(self, fn): import Image from numpy.random import shuffle def p(f): return float('{:0.5f}'.format(f)) scale = 1./255. im = Image.open(fn) w, h = im.size rgbim = im.convert('RGB') res = [] for i in range(0, w): for j in range(0, h): r, g, b = rgbim.getpixel((i, j)) res.append([p(r*scale), p(g*scale), p(b*scale)]) shuffle(res) self.colors = res self.ncolors = len(res)
def create_thumb(img_name): image = Image.open('{}.tiff'.format(img_name)) (imageW, imageH) = image.size if imageW > imageH: ratio = thumb_size / imageW newWidth = 400 newHeight = int(imageH * ratio) else: ratio = thumb_size / imageH newHeight = 400 newWidth = int(imageW * ratio) image = image.resize((newWidth, newHeight), Image.LANCZOS) outfh = open('{}_thumb.tiff'.format(img_name), 'wb') image.save(outfh, format='TIFF') outfh.close()
def clean_zip_file(self): """Open the zip file a first time, to check that it is a valid zip archive. We'll open it again in a moment, so we have some duplication, but let's focus on keeping the code easier to read! """ zip_file = self.cleaned_data['zip_file'] try: zip = zipfile.ZipFile(zip_file) except BadZipFile as e: raise forms.ValidationError(str(e)) bad_file = zip.testzip() if bad_file: zip.close() raise forms.ValidationError('"%s" in the .zip archive is corrupt.' % bad_file) zip.close() # Close file in all cases. return zip_file
def check_md5sum_change(src_file): """Returns True if src_file has a different md5sum""" src_md5 = get_md5sum(src_file) src_md5_file = src_file + '.md5' src_file_changed = True if os.path.exists(src_md5_file): with open(src_md5_file, 'r') as file_checksum: ref_md5 = file_checksum.read() if src_md5 == ref_md5: src_file_changed = False if src_file_changed: with open(src_md5_file, 'w') as file_checksum: file_checksum.write(src_md5) return src_file_changed
def image_file_to_string(filename, cleanup = cleanup_scratch_flag, graceful_errors=True): """Applies tesseract to filename; or, if image is incompatible and graceful_errors=True, converts to compatible format and then applies tesseract. Fetches resulting text. If cleanup=True, delete scratch files after operation.""" try: try: call_tesseract(filename, scratch_text_name_root) text = util.retrieve_text(scratch_text_name_root) except errors.Tesser_General_Exception: if graceful_errors: im = Image.open(filename) text = image_to_string(im, cleanup) else: raise finally: if cleanup: util.perform_cleanup(scratch_image_name, scratch_text_name_root) return text
def genLines(image=None): PrintGood('This is going to return OCR on either a list of images or full images') if isinstance(image, list) == False: image = PromptList('Which image/images to OCR: ', image) Found = [] for image in image: image = Image.open(image) with PyTessBaseAPI() as api: api.SetImage(image) boxes = api.GetComponentImages(RIL.TEXTLINE, True) print 'Found {} textline image components.'.format(len(boxes)) for i, (im, box, _, _) in enumerate(boxes): # im is a PIL image object # box is a dict with x, y, w and h keys api.SetRectangle(box['x'], box['y'], box['w'], box['h']) ocrResult = api.GetUTF8Text().split(' ') conf = api.MeanTextConf() ocrResult = [word.strip() for word in ocrResult] Found.append(ocrResult) print (u"Box[{0}]: x={x}, y={y}, w={w}, h={h}, " "confidence: {1}, text: {2}").format(i, conf, ocrResult, **box) return Found
def Spaces(image=None): PrintGood('This returns the number of spaces in a specific image or images') if isinstance(image, list) == False: image = PromptList('Which image/images to Scan: ', image) for image in image: image = Image.open(image) with PyTessBaseAPI() as api: api.SetImage(image) boxes = api.GetComponentImages(RIL.TEXTLINE, True) Spaces = 0 for i, (im, box, _, _) in enumerate(boxes): im.save('saving{}.jpg'.format(i)) api.SetRectangle(box['x'], box['y'], box['w'], box['h']) ocrResult = api.GetUTF8Text() conf = api.MeanTextConf() text = str(ocrResult).replace('\n', '').split(' ') Spaces = len(text) + Spaces return int(Spaces)
def ocrToDict(image=None, listofwords=[]): #image can be a list of files Words = {} if len(listofwords) == 0: PrintFail('You need to input a list of words') if 'y' in str(raw_input("Do you want to search for lyrics now? ")).lower(): artist = raw_input("Artist: ") song = raw_input("Song: ") listofwords = GrabSongLyrics(artist, song) print(listofwords) else: return if isinstance(image, list) == False: image = PromptList('Which image/images to Scan: ', image) for i, image in enumerate(image): Words['Clean'][i] = imageToOCR(image, listofwords) with open('{}Transcript.json'.format(Words[1]), 'w') as f: json.dump(Words, f)
def WriteToImage(output, txt, size=45, input='background.jpg'): output = str(output).replace('.png', '').replace('.jpg', '') i = Image.open(input) font = ImageFont.load_default() txt = txt.split(' ') r = [] for part in txt: r.append(str(part).replace(' ', '')) txt = r a = '' while len(txt) > 0: try: for e in range(7): item = txt[0] txt.remove(item) a = a + ' ' + str(item) a = a + '\n' except: break text_col = (255, 255, 255) # bright green halo_col = (0, 0, 0) # black i2 = draw_text_with_halo(i, (20, 40), a, font, text_col, halo_col) i2.save('{}.png'.format(output))
def insert_text(img, dest, msg): image = Image.open(img) width, height = image.size if image.mode[:3] != "RGB" or width * height * 3 < len(msg) + RESERVED_PIXELS * 3: raise IndexError("Unable to use this picture") bits = bin(len(msg))[2:].zfill(RESERVED_PIXELS * 3) msg = bits + msg msg = enumerate(msg + "0" * (3 - len(msg) % 3)) p = image.load() for i, j in pixels(image.size): try: rgb = map(lambda color, bit: color - (color % 2) + int(bit), p[i, j][:3], [msg.next()[1] for _ in xrange(3)]) p[i, j] = tuple(rgb) except StopIteration: image.save(dest, "PNG", quality = 100) return
def extract_text(img): image = Image.open(img) length = image.size p = image.load() leng = "" for pix in pixels(length): leng += "".join("1" if color % 2 else "0" for color in p[pix][:3]) if len(leng) >= RESERVED_PIXELS * 3: leng = int(leng, 2) break binary_information = "" for pix in pixels(length): binary_information += "".join("1" if color % 2 else "0" for color in p[pix][:3]) return binary_information[RESERVED_PIXELS * 3 : leng + RESERVED_PIXELS * 3]
def create_py(self, nb, force=False): """Create the python script from the notebook node""" # Although we would love to simply use ``nbconvert.export_python(nb)`` # this causes troubles in other cells processed by the ipython # directive. Instead of getting something like ``Out [5]:``, we get # some weird like '[0;31mOut[[1;31m5[0;31m]: [0m' which look like # color information if we allow the call of nbconvert.export_python if list(map(int, re.findall('\d+', nbconvert.__version__))) >= [4, 2]: py_file = os.path.basename(self.py_file) else: py_file = self.py_file spr.call(['jupyter', 'nbconvert', '--to=python', '--output=' + py_file, '--log-level=%s' % logger.level, self.outfile]) with open(self.py_file) as f: py_content = f.read() # comment out ipython magics py_content = re.sub('^\s*get_ipython\(\).magic.*', '# \g<0>', py_content, flags=re.MULTILINE) with open(self.py_file, 'w') as f: f.write(py_content)
def _parsejpg(self, filename): # Extract info from a JPEG file if Image is None: self.error('PIL not installed') try: f = open(filename, 'rb') im = Image.open(f) except Exception, e: self.error('Missing or incorrect image file: %s. error: %s' % (filename, str(e))) else: a = im.size # We shouldn't get into here, as Jpeg is RGB=8bpp right(?), but, just in case... bpc=8 if im.mode == 'RGB': colspace='DeviceRGB' elif im.mode == 'CMYK': colspace='DeviceCMYK' else: colspace='DeviceGray' # Read whole file from the start f.seek(0) data = f.read() f.close() return {'w':a[0],'h':a[1],'cs':colspace,'bpc':bpc,'f':'DCTDecode','data':data}
def _parsegif(self, filename): # Extract info from a GIF file (via PNG conversion) if Image is None: self.error('PIL is required for GIF support') try: im = Image.open(filename) except Exception, e: self.error('Missing or incorrect image file: %s. error: %s' % (filename, str(e))) else: # Use temporary file f = tempfile.NamedTemporaryFile(delete=False, suffix=".png") tmp = f.name f.close() if "transparency" in im.info: im.save(tmp, transparency = im.info['transparency']) else: im.save(tmp) info = self._parsepng(tmp) os.unlink(tmp) return info
def setupTexturemaps(self): this_folder = os.path.dirname(os.path.abspath(__file__)) image_path = os.path.join(this_folder, "cube_texture_small.png") img = Image.open(image_path) imageRGBA = numpy.array(list(img.getdata()), numpy.uint8) self.m_iTexture = glGenTextures(1) glBindTexture( GL_TEXTURE_2D, self.m_iTexture ) glTexImage2D( GL_TEXTURE_2D, 0, GL_RGB, img.size[0], img.size[1], 0, GL_RGB, GL_UNSIGNED_BYTE, imageRGBA ) glGenerateMipmap(GL_TEXTURE_2D) glTexParameteri( GL_TEXTURE_2D, GL_TEXTURE_WRAP_S, GL_CLAMP_TO_EDGE ) glTexParameteri( GL_TEXTURE_2D, GL_TEXTURE_WRAP_T, GL_CLAMP_TO_EDGE ) glTexParameteri( GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_LINEAR ) glTexParameteri( GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_LINEAR_MIPMAP_LINEAR ) fLargest = glGetFloatv(GL_MAX_TEXTURE_MAX_ANISOTROPY_EXT) glTexParameterf(GL_TEXTURE_2D, GL_TEXTURE_MAX_ANISOTROPY_EXT, fLargest) glBindTexture( GL_TEXTURE_2D, 0 ) return self.m_iTexture != 0
def _get_data(url): """Helper function to get data over http or from a local file""" if url.startswith('http://'): resp = urllib2.urlopen(url) encoding = resp.headers.dict.get('content-encoding', 'plain') data = resp.read() if encoding == 'plain': pass elif encoding == 'gzip': data = StringIO(data) data = gzip.GzipFile(fileobj=data).read() else: raise RuntimeError('unknown encoding') else: with open(url, 'r') as fid: data = fid.read() fid.close() return data
def decode(self, filename=None): self.filename = filename or self.filename if self.filename: scanner = zbar.ImageScanner() # configure the reader scanner.parse_config('enable') # obtain image data pil = Image.open(self.filename).convert('L') width, height = pil.size try: raw = pil.tobytes() except AttributeError: raw = pil.tostring() # wrap image data image = zbar.Image(width, height, 'Y800', raw) # scan the image for barcodes result = scanner.scan(image) # extract results if result == 0: return False else: for symbol in image: pass # clean up del(image) # Assuming data is encoded in utf8 self.data = symbol.data.decode(u'utf-8') self.data_type = self.data_recognise() return True else: return False
def get_colors(f, do_shuffle=True): from numpy import array try: import Image except Exception: from PIL import Image im = Image.open(f) data = array(list(im.convert('RGB').getdata()),'float')/255.0 res = [] for rgb in data: res.append(list(rgb)) if do_shuffle: from numpy.random import shuffle shuffle(res) return res
def binary(f): #???????? print f img = Image.open(f) #img = img.convert('1') img = img.convert("RGBA") #??????????????????? pixdata = img.load() for y in xrange(img.size[1]): for x in xrange(img.size[0]): if pixdata[x, y][0] < 90: pixdata[x, y] = (0, 0, 0, 255) for y in xrange(img.size[1]): for x in xrange(img.size[0]): if pixdata[x, y][1] < 136: pixdata[x, y] = (0, 0, 0, 255) for y in xrange(img.size[1]): for x in xrange(img.size[0]): if pixdata[x, y][2] > 0: pixdata[x, y] = (255, 255, 255, 255) return img
def _get_data(url): """Helper function to get data over http or from a local file""" if url.startswith('http://'): # Try Python 2, use Python 3 on exception try: resp = urllib.urlopen(url) encoding = resp.headers.dict.get('content-encoding', 'plain') except AttributeError: resp = urllib.request.urlopen(url) encoding = resp.headers.get('content-encoding', 'plain') data = resp.read() if encoding == 'plain': pass elif encoding == 'gzip': data = StringIO(data) data = gzip.GzipFile(fileobj=data).read() else: raise RuntimeError('unknown encoding') else: with open(url, 'r') as fid: data = fid.read() fid.close() return data
def extract_line_count(filename, target_dir): # Extract the line count of a file example_file = os.path.join(target_dir, filename) lines = open(example_file).readlines() start_row = 0 if lines and lines[0].startswith('#!'): lines.pop(0) start_row = 1 line_iterator = iter(lines) tokens = tokenize.generate_tokens(lambda: next(line_iterator)) check_docstring = True erow_docstring = 0 for tok_type, _, _, (erow, _), _ in tokens: tok_type = token.tok_name[tok_type] if tok_type in ('NEWLINE', 'COMMENT', 'NL', 'INDENT', 'DEDENT'): continue elif (tok_type == 'STRING') and check_docstring: erow_docstring = erow check_docstring = False return erow_docstring + 1 + start_row, erow + 1 + start_row
def substract_bg(self, bgpath): bg = Image.open(bgpath) img = self.img.convert("P") bglut = bg.resize((256, 1)) bglut.putdata(range(256)) bglut = list(bglut.convert("RGB").getdata()) lut = img.resize((256, 1)) lut.putdata(range(256)) lut = list(lut.convert("RGB").getdata()) bgpix = bg.load() pix = img.load() orgpix = self.img.load() for x in range(bg.size[0]): for y in range(bg.size[1]): rgb_bg = bglut[bgpix[x, y]] rgb_c = lut[pix[x, y]] if rgb_c == rgb_bg: orgpix[x, y] = (255, 255, 255)
def build_toc(self, outdir, outname): """Write the metainfo file toc.ncx.""" self.info('writing %s file...' % outname) if self.config.epub_tocscope == 'default': doctree = self.env.get_and_resolve_doctree(self.config.master_doc, self, prune_toctrees=False, includehidden=False) refnodes = self.get_refnodes(doctree, []) self.toc_add_files(refnodes) else: # 'includehidden' refnodes = self.refnodes navpoints = self.build_navpoints(refnodes) level = max(item['level'] for item in self.refnodes) level = min(level, self.config.epub_tocdepth) f = codecs.open(path.join(outdir, outname), 'w', 'utf-8') try: f.write(_toc_template % self.toc_metadata(level, navpoints)) finally: f.close()
def resize(): # for resizing images to 256 by 256 and zooming in on the objects for s in wanted_classes: files = glob('data/overlays/' + labels[s]+'/*') for f in tqdm(files): images = glob(f+'/*') for im in images: # here I am maintianing the origional images and renaming them with a large_ prefix actual = im new = f+'/orig_' + im.split('/')[-1] shutil.move(actual,new) im = Image.open(new) x,y = im.size diff = (x-y)/2 im = im.crop((diff+100,100, x-diff-100, y-100)) # getting a square aspect ratio and zooming in on object by 100 pixels im = ImageOps.fit(im, (256,256), Image.ANTIALIAS) # reshaping to 256 by 256 im.save(actual)
def load_orgimg(temp_line) : global org_img global org_file global base_path global org_width, org_height # print "load_orgimg function!" org_file = Image.open("%s/data/flickr/%s" %(aflw_path, temp_line), 'r' ) try: org_img = org_file.load() except IOError: print "IOError happens!! because of Image load" return 0 org_width, org_height = org_file.size return 1
def open_image_file(self, filename): """ Obtain a handle to an image file @param filename: Name of the file @type filename: C{str} @return: Image file @rtype: L{Image} """ if filename in self.cached_image_files: im = self.cached_image_files[filename] else: im = Image.open(generic.find_file(filename)) self.cached_image_files[filename] = im return im
def save_imgs(imgs, ret_size=False): import Image result = [] for img in imgs: qiniu_key = upload_by_rawdata(img, len(img)) log.info('upload stream img to qiniu, return: %s' % (qiniu_key,)) img_width = 0 img_height = 0 if ret_size: s = '' for c in img.chunks(): s += c imagefile = StringIO.StringIO(s) im = Image.open(imagefile) img_width, img_height = im.size result.append({'img':'/'+qiniu_key.lstrip('/'),'img_width':img_width,'img_height':img_height}) return result
def resize_img(img_path, size=64,style='jpg', ch_width=200): try: img = Image.open(img_path) (width,height) = img.size new_width = ch_width new_height = height * new_width / width out = img.resize((new_width, new_height), Image.ANTIALIAS) thumb_filename = gen_thumb_filename(img_path) filename, ext = os.path.splitext(thumb_filename) new_file_name = '%s.%s' % (filename, style) #????? filesize = os.path.getsize(img_path)/1024 if filesize > size: quality = int(float(size) / float(filesize) * 100) - 1 else: quality = 100 out.save(new_file_name, quality=quality) return new_file_name except Exception,e: print Exception,':',e
def extract_line_count(filename, target_dir): # Extract the line count of a file example_file = os.path.join(target_dir, filename) if six.PY2: lines = open(example_file).readlines() else: lines = open(example_file, encoding='utf-8').readlines() start_row = 0 if lines and lines[0].startswith('#!'): lines.pop(0) start_row = 1 line_iterator = iter(lines) tokens = tokenize.generate_tokens(lambda: next(line_iterator)) check_docstring = True erow_docstring = 0 for tok_type, _, _, (erow, _), _ in tokens: tok_type = token.tok_name[tok_type] if tok_type in ('NEWLINE', 'COMMENT', 'NL', 'INDENT', 'DEDENT'): continue elif (tok_type == 'STRING') and check_docstring: erow_docstring = erow check_docstring = False return erow_docstring+1+start_row, erow+1+start_row
def loadTexture(filename): try: from PIL.Image import open as imgopen except ImportError, err: from Image import open as imgopen im = imgopen(filename) try: im = im.convert('RGB') ix, iy, image = im.size[0], im.size[1], im.tobytes("raw", "RGBA", 0, -1) except SystemError: ix, iy, image = im.size[0], im.size[1], im.tobytes("raw", "RGBX", 0, -1) assert ix*iy*4 == len(image), """Unpacked image size for texture is incorrect""" texID = glGenTextures(1) glBindTexture(GL_TEXTURE_2D, texID) glPixelStorei(GL_UNPACK_ALIGNMENT, 1) glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_LINEAR) glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_LINEAR) glTexImage2D(GL_TEXTURE_2D, 0, 3, ix, iy, 0, GL_RGBA, GL_UNSIGNED_BYTE, image) return texID #Used to help sort edges in CCW order
def printOut(): # print image printer.printImage(Image.open('FFA_print.png'), True) printer.setSize('S') printer.justify('C') printer.println(motto) # printer.println(' ') printer.justify('C') printer.boldOn() printer.println(event) printer.boldOff() printer.justify('C') # printer.println(motto) printer.println(' ') # printer.writeBytes(0x1B, 0x21, 0x1) printer.println(mill) printer.println(website) printer.println(' ') printer.println(' ') printer.feed(3) # Called when button is briefly tapped.
def printOut(): # print image printer.printImage(Image.open('vbotPrint.png'), True) printer.setSize('M') printer.justify('C') printer.println(mill) printer.setSize('S') printer.println(tag) printer.println(hours) printer.println(' ') printer.boldOn() printer.println(website) printer.boldOff() printer.writeBytes(0x1B, 0x21, 0x1) printer.println(' ') printer.println(contact) printer.println(' ') printer.println(' ') printer.feed(3) # Called when button is briefly tapped.
def printOut(): # print image printer.printImage(Image.open('4hlogo_sm3.png'), True) printer.setSize('S') printer.println(pledge) # printer.println(' ') printer.justify('C') printer.boldOn() printer.println(event) printer.boldOff() printer.justify('C') # printer.println(motto) printer.println(' ') # printer.writeBytes(0x1B, 0x21, 0x1) printer.println(mill) printer.println(' ') printer.println(' ') printer.feed(3) # Called when button is briefly tapped.
def printOut(): printer.justify('C') printer.boldOn() printer.println(event) printer.boldOff() # print image printer.printImage(Image.open('4hlogo_sm3.png'), True) printer.justify('L') # printer.setSize('M') # printer.println(Title) printer.setSize('S') printer.println(pledge) # printer.println(' ') printer.justify('C') # printer.println(motto) printer.println(' ') # printer.writeBytes(0x1B, 0x21, 0x1) printer.println(mill) printer.println(' ') printer.println(' ') printer.feed(3) # Called when button is briefly tapped.
def getverify(name): # ???? img = Image.open(name) # ?????? imgry = img.convert('L') # ????????????threshold???? out = imgry.point(table, '1') # out.save('b'+name) out = removedot(out) # ???? out.save('o'+name) # ?? text = image_to_string(out) # ???? text = text.strip() text = text.upper() for r in rep: text = text.replace(r, rep[r]) # out.save(text+'.jpg') # print text return text
def convert(dir,width,height): file_list = os.listdir(dir) print(file_list) for filename in file_list: path = '' path = dir+filename im = Image.open(path) out = im.resize((256,256),Image.ANTIALIAS) print "%s has been resized!"%filename out.save(path)
def convert(width,height): im = Image.open("C:\\workspace\\PythonLearn1\\test_1.jpg") (x, y)= im.size x_s = width y_s = y * x_s / x out = im.resize((x_s, y_s), Image.ANTIALIAS) out.save("C:\\workspace\\PythonLearn1\\test_1_out.jpg")
def resizePhoto(photo): thumbnail = photo.replace('.jpg', '.thumbnail.jpg') try: im = Image.open(photo) im.thumbnail((380, 500), Image.ANTIALIAS) im.save(thumbnail, "JPEG") return thumbnail except IOError: print "cannot create thumbnail for '%s'" % photo return False
def getRGBTupleFromImg(file_obj, coords=(0,0)): """ Extract an #RRGGBB color string from given pixel coordinates in the given file-like object. """ pil_img = Image.open(file_obj) pil_img = pil_img.convert('RGB') rgb = pil_img.getpixel(coords) return rgb
