Update app.py
Browse files
app.py
CHANGED
|
@@ -145,7 +145,7 @@ def logscale(linear):
|
|
| 145 |
def linscale(linear):
|
| 146 |
return int(math.log2(linear))
|
| 147 |
|
| 148 |
-
def remove_bg(fl, count, mh, ms, md):
|
| 149 |
global fl_
|
| 150 |
fr = cv2.imread(fl).astype(np.uint8)
|
| 151 |
|
|
@@ -164,6 +164,14 @@ def remove_bg(fl, count, mh, ms, md):
|
|
| 164 |
fr_diff = cv2.cvtColor(fr_diff, cv2.COLOR_BGR2GRAY)
|
| 165 |
|
| 166 |
#md = 12
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 167 |
bg = cv2.inRange(hsv, np.array([0,0,0]), np.array([mh,ms,md]))
|
| 168 |
fr_diff[bg>0] = 0
|
| 169 |
fr_diff[bg==0] = 255
|
|
@@ -234,7 +242,7 @@ def sortFiles(e):
|
|
| 234 |
e = e.split('/')
|
| 235 |
return e[len(e)-1]
|
| 236 |
|
| 237 |
-
def loadf(f, r_bg, mh, ms, md):
|
| 238 |
if f != None and f[0] != None:
|
| 239 |
f.sort(key=sortFiles)
|
| 240 |
fnew = []
|
|
@@ -245,7 +253,7 @@ def loadf(f, r_bg, mh, ms, md):
|
|
| 245 |
fl = sharpest(fl, i)
|
| 246 |
|
| 247 |
if r_bg == True:
|
| 248 |
-
fl = remove_bg(fl, i, mh, ms, md)
|
| 249 |
if i % 2: # odd: is photo without the flash
|
| 250 |
fnew.append(fl)
|
| 251 |
else:
|
|
@@ -288,12 +296,14 @@ with gr.Blocks() as demo:
|
|
| 288 |
files_orig = gr.File(file_count="multiple", file_types=['image', '.mp4'])
|
| 289 |
files_input = gr.File(file_count="multiple", visible=False)
|
| 290 |
gallery_input = gr.Gallery(label="Slideshow", preview=True, columns=8192, interactive=False)
|
| 291 |
-
with gr.
|
| 292 |
-
|
| 293 |
-
|
| 294 |
-
|
| 295 |
-
|
| 296 |
-
|
|
|
|
|
|
|
| 297 |
|
| 298 |
with gr.Row():
|
| 299 |
interpolation_slider = gr.Slider(minimum=1, maximum=5, step=1, value=1, label="Interpolation Steps: ")
|
|
@@ -311,12 +321,12 @@ with gr.Blocks() as demo:
|
|
| 311 |
|
| 312 |
gr.Examples(
|
| 313 |
examples=[[
|
| 314 |
-
["./examples/0.png", "./examples/1.png", "./examples/2.png", "./examples/3.png", "./examples/4.png"], False, 0, 0, 0
|
| 315 |
], [
|
| 316 |
-
["./examples/0_flash.jpg", "./examples/1_noflash.jpg", "./examples/2_flash.jpg", "./examples/3_noflash.jpg"], True, 180, 255, 12
|
| 317 |
]],
|
| 318 |
fn=loadf,
|
| 319 |
-
inputs=[files_orig, r_bg, mh, ms, md],
|
| 320 |
outputs=[files_input, gallery_input],
|
| 321 |
cache_examples=True
|
| 322 |
)
|
|
|
|
| 145 |
def linscale(linear):
|
| 146 |
return int(math.log2(linear))
|
| 147 |
|
| 148 |
+
def remove_bg(fl, count, mh, ms, md, lm):
|
| 149 |
global fl_
|
| 150 |
fr = cv2.imread(fl).astype(np.uint8)
|
| 151 |
|
|
|
|
| 164 |
fr_diff = cv2.cvtColor(fr_diff, cv2.COLOR_BGR2GRAY)
|
| 165 |
|
| 166 |
#md = 12
|
| 167 |
+
if lm == "median":
|
| 168 |
+
mh = np.median(hsv[:,:,0])
|
| 169 |
+
ms = np.median(hsv[:,:,1])
|
| 170 |
+
md = np.median(hsv[:,:,2])
|
| 171 |
+
elif lm == "average":
|
| 172 |
+
mh = np.average(hsv[:,:,0])
|
| 173 |
+
ms = np.average(hsv[:,:,1])
|
| 174 |
+
md = np.average(hsv[:,:,2])
|
| 175 |
bg = cv2.inRange(hsv, np.array([0,0,0]), np.array([mh,ms,md]))
|
| 176 |
fr_diff[bg>0] = 0
|
| 177 |
fr_diff[bg==0] = 255
|
|
|
|
| 242 |
e = e.split('/')
|
| 243 |
return e[len(e)-1]
|
| 244 |
|
| 245 |
+
def loadf(f, r_bg, mh, ms, md, lm):
|
| 246 |
if f != None and f[0] != None:
|
| 247 |
f.sort(key=sortFiles)
|
| 248 |
fnew = []
|
|
|
|
| 253 |
fl = sharpest(fl, i)
|
| 254 |
|
| 255 |
if r_bg == True:
|
| 256 |
+
fl = remove_bg(fl, i, mh, ms, md, lm)
|
| 257 |
if i % 2: # odd: is photo without the flash
|
| 258 |
fnew.append(fl)
|
| 259 |
else:
|
|
|
|
| 296 |
files_orig = gr.File(file_count="multiple", file_types=['image', '.mp4'])
|
| 297 |
files_input = gr.File(file_count="multiple", visible=False)
|
| 298 |
gallery_input = gr.Gallery(label="Slideshow", preview=True, columns=8192, interactive=False)
|
| 299 |
+
with gr.Group(label="Background removal settings"):
|
| 300 |
+
r_bg = gr.Checkbox(label="Remove background", value=True)
|
| 301 |
+
with gr.Accordion(label="Max differences for background", open=False):
|
| 302 |
+
mh = gr.Slider(minimum=0, maximum=180, step=1, value=180, label="Hue")
|
| 303 |
+
ms = gr.Slider(minimum=0, maximum=255, step=1, value=255, label="Saturation")
|
| 304 |
+
md = gr.Slider(minimum=0, maximum=255, step=1, value=12, label="Lightness")
|
| 305 |
+
lm = gr.Radio(label="Use max diffs from", choices=["average", "median", "slider"], value="slider")
|
| 306 |
+
files_orig.upload(fn=loadf, inputs=[files_orig, r_bg, mh, ms, md, lm], outputs=[files_input, gallery_input])
|
| 307 |
|
| 308 |
with gr.Row():
|
| 309 |
interpolation_slider = gr.Slider(minimum=1, maximum=5, step=1, value=1, label="Interpolation Steps: ")
|
|
|
|
| 321 |
|
| 322 |
gr.Examples(
|
| 323 |
examples=[[
|
| 324 |
+
["./examples/0.png", "./examples/1.png", "./examples/2.png", "./examples/3.png", "./examples/4.png"], False, 0, 0, 0, "slider"
|
| 325 |
], [
|
| 326 |
+
["./examples/0_flash.jpg", "./examples/1_noflash.jpg", "./examples/2_flash.jpg", "./examples/3_noflash.jpg"], True, 180, 255, 12, "slider"
|
| 327 |
]],
|
| 328 |
fn=loadf,
|
| 329 |
+
inputs=[files_orig, r_bg, mh, ms, md, lm],
|
| 330 |
outputs=[files_input, gallery_input],
|
| 331 |
cache_examples=True
|
| 332 |
)
|