Update app.py

app.py

@@ -16,56 +16,57 @@ if 'exec' not in globals():
     
        exec=True
        if not os.path.isfile("./_input/imagem-0001.png"):
-           os.system("ffmpeg -i vivi.mp4   -compression_level 10 -pred mixed -pix_fmt rgb24 -sws_flags +accurate_rnd+full_chroma_int -s 1480x2560  -r 0.1 ./_input/imagem-%4d.png")
-       input_img = cv2.imread("./_input/imagem-0002.png" , cv2.IMREAD_COLOR)
-       input_img= cv2.cvtColor(input_img,cv2.COLOR_BGR2RGB) 
-       
-       st.image(input_img)
-       os.system("ls ./_input") 
-       if 'myVar' not in globals():
-           myVar=""
-          # os.system("pip install git+https://github.com/TencentARC/GFPGAN.git")
-       os.system("python3 inference_gfpgan.py -i _input -o _output -v 1.3 -s 1")
-
-       
-       os.system("ls ./_output")
-       os.system("echo ----")
-       os.system("ls ./_output/cmp")
-       os.system("echo ----")
-       os.system("ls ./_output/restored_imgs")
-       os.system("echo ----")
-       #ffmpeg -r 60 -f image2 -s 1920x1080 -i _output/restored_imgs/imagem-%4d.png   -pix_fmt yuv420p ./videoSaida/output.mp4
-       os.system("ffmpeg -y -r 30 -f image2 -s 1480x2560 -i _output/restored_imgs/imagem-%4d.png   -pix_fmt yuv420p ./videoSaida/output.mp4")
-       os.system("ls ./videoSaida")
-       #st.video("./videoSaida/output.mp4" )
-       
-       with open("./videoSaida/output.mp4", "rb") as file:
-       
-           btn = st.download_button(
-       
-                   label="Download video",
-       
-                   data=file,
-       
-                   file_name="output.png",
-       
-                   mime="video/mp4"
-       
-                 )
-       #st.download_button("download video", data, file_name='output.mp4', mime='video/mp4',)
-       #stremio
-       #input_img = cv2.imread("./_output/cmp/imagem-0001_0000.png" , cv2.IMREAD_COLOR)
-       #input_img = cv2.imread("./_output/cmp/imagem-0001_0000.png" , cv2.IMREAD_COLOR)
+          os.system("ffmpeg -i vivi.mp4   -compression_level 10 -pred mixed -pix_fmt rgb24 -sws_flags +accurate_rnd+full_chroma_int -s 1480x2560  -r 30 ./_input/imagem-%4d.png")
+          input_img = cv2.imread("./_input/imagem-0002.png" , cv2.IMREAD_COLOR)
+          input_img= cv2.cvtColor(input_img,cv2.COLOR_BGR2RGB) 
+          
+          st.image(input_img)
+          os.system("ls ./_input") 
+          if 'myVar' not in globals():
+              myVar=""
+             # os.system("pip install git+https://github.com/TencentARC/GFPGAN.git")
+          os.system("python3 inference_gfpgan.py -i _input -o _output -v 1.3 -s 2")
    
+          
+          os.system("ls ./_output")
+          os.system("echo ----")
+          os.system("ls ./_output/cmp")
+          os.system("echo ----")
+          os.system("ls ./_output/restored_imgs")
+          os.system("echo ----")
+#          s 1480x2560
+          #ffmpeg -r 60 -f image2 -s 1920x1080 -i _output/restored_imgs/imagem-%4d.png   -pix_fmt yuv420p ./videoSaida/output.mp4
+          os.system("ffmpeg -y -r 30 -f image2  -i _output/restored_imgs/imagem-%4d.png   -pix_fmt yuv420p ./videoSaida/output.mp4")
+          os.system("ls ./videoSaida")
+          #st.video("./videoSaida/output.mp4" )
+          
+          with open("./videoSaida/output.mp4", "rb") as file:
+          
+              btn = st.download_button(
+          
+                      label="Download video",
+          
+                      data=file,
+          
+                      file_name="output.png",
+          
+                      mime="video/mp4"
+          
+                    )
+          #st.download_button("download video", data, file_name='output.mp4', mime='video/mp4',)
+          #stremio
+          #input_img = cv2.imread("./_output/cmp/imagem-0001_0000.png" , cv2.IMREAD_COLOR)
+          #input_img = cv2.imread("./_output/cmp/imagem-0001_0000.png" , cv2.IMREAD_COLOR)
+      
+          
+          input_img = cv2.imread("./_output/restored_imgs/imagem-0002.png" , cv2.IMREAD_COLOR)
+          input_img= cv2.cvtColor(input_img,cv2.COLOR_BGR2RGB) 
+          
+          st.image(input_img)
+          exec=False
+       #return Image.fromarray(restored_faces[0][:,:,::-1])
        
-       input_img = cv2.imread("./_output/restored_imgs/imagem-0002.png" , cv2.IMREAD_COLOR)
-       input_img= cv2.cvtColor(input_img,cv2.COLOR_BGR2RGB) 
-       
-       st.image(input_img)
-       exec=False
-    #return Image.fromarray(restored_faces[0][:,:,::-1])
-    
-
+   
 title = "Melhoria de imagens"
 
 os.system("ls")