{"cells":[{"metadata":{"trusted":true},"cell_type":"code","source":"import glob\nimport skimage.io as io\nimport cv2\nimport matplotlib.pyplot as plt\nimport numpy as np\nimport random as r\nimport gc; gc.enable() # memory is tight\nfrom tqdm.notebook import tqdm # yaptığımız işlemlerdeki ilerlemeyi göselleştirmeye yarayan bir kütüphane\nfrom os import listdir\nfrom os.path import isfile, join\nimport os\nimport tensorflow as tf","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"``plugin =simpleitk`` tıbbı, ct, mr gibi görüntüleri incelemek için özel olarak hazırlanmış "},{"metadata":{"trusted":true},"cell_type":"code","source":"# glob komutu ile train verilerimizin dosya yolunu files dosyasının içine atıyoruz. \nfiles = glob.glob(\"../input/hubmap-5185x256x256-image-and-masks/train\"+\"/*.png\",recursive=True) ","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"files[0:5]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"len(files)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"örnek =files[1678]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"img = io.imread(örnek,as_gray=False) # örnek görüntüyü okuyouz.","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"img.shape","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.imshow(img,cmap='gray')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"örnek","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"img_seg =io.imread('../input/hubmap-5185x256x256-image-and-masks/masks/0486052bb_85.png')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.imshow(img_seg)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.figure(figsize=(15,10))\n\nplt.subplot(1,2,1)\nplt.title('a) ham görüntü')\nplt.axis('off')\nplt.imshow(img,cmap='gray')\n\nplt.subplot(1,2,2)\nplt.title('b) seg görüntü')\nplt.axis('off')\nplt.imshow(img_seg)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"lab = cv2.cvtColor(img,cv2.COLOR_RGB2LAB)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"l,a,b = cv2.split(lab)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.imshow(l,cmap='gray')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.imshow(a,cmap='gray')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.imshow(b)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"red_img = img[:,:,2]\nprint(red_img.shape)\nplt.imshow(red_img)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"green_img = img[:,:,1]\nplt.imshow(green_img)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"blue_img = img[:,:,0]\nplt.imshow(blue_img)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Train image"},{"metadata":{"trusted":true},"cell_type":"code","source":"directory_path = '../input/hubmap-5185x256x256-image-and-masks/train';\nimage_paths = [f for f in listdir(directory_path) if isfile(join(directory_path, f))] \nr.seed(9)\nr.shuffle(image_paths)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"image_paths[0:5]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"len(image_paths)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"files = os.path.join(directory_path+'/'+image_paths[0])\nfiles","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"def train_array():\n    img_liste = []\n    for i in tqdm(range(len(image_paths[5000:]))) :\n        file = os.path.join(directory_path+'/'+image_paths[i])\n        img = io.imread(file,as_gray=True) # görüntüleri okuyoruz\n        #img = io.imread(file) # görüntüleri okuyoruz\n        #img = cv2.resize(img,(512,512))\n        #img = img.transpose(2,0,1)\n        img = (img-img.mean())/img.std() # standartize ediyoruz\n        #img = img[1,:,:]\n        img = np.expand_dims(img,axis=0)\n        img.astype('float32')\n        img_liste.append(img)\n    return np.array(img_liste,np.float32)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train = train_array()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train.shape","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.figure(figsize=(20,12))\na = -1\nliste = range(len(train))\nfor i in r.sample(liste, 12) :\n    a+=1\n    plt.subplot(3,4,a+1)\n    plt.imshow(train[i].reshape(512,512))\n    \nplt.tight_layout()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Segment image"},{"metadata":{"trusted":true},"cell_type":"code","source":"seg_path='../input/hubmap-5185x256x256-image-and-masks/masks'\ndef seg_array():\n    img_liste = []\n    for i in tqdm(range(len(image_paths[5000:]))) :\n        #name=image_paths[i].split('_')\n        file = os.path.join(seg_path+'/'+image_paths[i])\n        #file = os.path.join(seg_path+'/'+name[0]+'_mask_'+name[1]+'_'+name[2])\n        img = io.imread(file) # görüntüleri okuyoruz\n        #img = cv2.resize(img,(512,512))\n        img.astype('float32')\n        img = np.expand_dims(img,axis=0)\n        img_liste.append(img)\n\n    return np.array(img_liste,np.float32)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"seg = seg_array()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"seg.shape","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Visualization"},{"metadata":{"trusted":true},"cell_type":"code","source":"x=756\n\nplt.figure(figsize=(15,10))\n\nplt.subplot(2,4,1)\nplt.imshow(train[x].reshape(512,512),cmap='gray')\nplt.title(\"train image\")\n\nplt.subplot(2,4,2)\nplt.imshow(seg[x].reshape(512,512))\nplt.title(\"mask\")\n\nx=1293\n\nplt.subplot(2,4,3)\nplt.imshow(train[x].reshape(512,512),cmap='gray')\nplt.title(\"train image\")\n\nplt.subplot(2,4,4)\nplt.imshow(seg[x].reshape(512,512))\nplt.title(\"mask\")\n\nx =273\n\nplt.subplot(2,4,5)\nplt.imshow(train[x].reshape(512,512),cmap='gray')\nplt.title(\"train image\")\n\nplt.subplot(2,4,6)\nplt.imshow(seg[x].reshape(512,512))\nplt.title(\"mask\")\n\nx = 87\n\nplt.subplot(2,4,7)\nplt.imshow(train[x].reshape(512,512),cmap='gray')\nplt.title(\"train image\")\n\nplt.subplot(2,4,8)\nplt.imshow(seg[x].reshape(512,512))\nplt.title(\"mask\")\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# MODEL Unet\n![image.png](attachment:image.png)","attachments":{"image.png":{"image/png":"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"}}},{"metadata":{"trusted":true},"cell_type":"code","source":"from keras.models import Model\nfrom keras.layers import Dense, Dropout, Activation, Flatten\nfrom keras.layers import concatenate, Conv2D, MaxPooling2D, Conv2DTranspose\nfrom keras.layers import Input, merge, UpSampling2D,BatchNormalization\nfrom keras.callbacks import ModelCheckpoint\nfrom keras.optimizers import Adam\nfrom keras.preprocessing.image import ImageDataGenerator\nfrom keras import backend as K\nimport tensorflow as tf\n\nK.set_image_data_format('channels_first')\n\n\ndef dice_coef(y_true, y_pred):\n    smooth = 0.005 \n    y_true_f = K.flatten(y_true)\n    y_pred_f = K.flatten(y_pred)\n    intersection = K.sum(y_true_f * y_pred_f)\n    return (2. * intersection + smooth) / (K.sum(y_true_f) + K.sum(y_pred_f) + smooth)\n\n\ndef dice_coef_loss(y_true, y_pred):\n    return 1-dice_coef(y_true, y_pred)\n    \ndef unet_model(pretrained_weights=None):\n    \n    inputs = Input((1, 512 , 512))\n    \n    conv1 = Conv2D(64, (3, 3), activation='relu', padding='same') (inputs)\n    batch1 = BatchNormalization(axis=1)(conv1)\n    conv1 = Conv2D(64, (3, 3), activation='relu', padding='same') (batch1)\n    batch1 = BatchNormalization(axis=1)(conv1)\n    pool1 = MaxPooling2D((2, 2)) (batch1)\n    \n    conv2 = Conv2D(128, (3, 3), activation='relu', padding='same') (pool1)\n    batch2 = BatchNormalization(axis=1)(conv2)\n    conv2 = Conv2D(128, (3, 3), activation='relu', padding='same') (batch2)\n    batch2 = BatchNormalization(axis=1)(conv2)\n    pool2 = MaxPooling2D((2, 2)) (batch2)\n    \n    conv3 = Conv2D(256, (3, 3), activation='relu', padding='same') (pool2)\n    batch3 = BatchNormalization(axis=1)(conv3)\n    conv3 = Conv2D(256, (3, 3), activation='relu', padding='same') (batch3)\n    batch3 = BatchNormalization(axis=1)(conv3)\n    pool3 = MaxPooling2D((2, 2)) (batch3)\n    \n    conv4 = Conv2D(512, (3, 3), activation='relu', padding='same') (pool3)\n    batch4 = BatchNormalization(axis=1)(conv4)\n    conv4 = Conv2D(512, (3, 3), activation='relu', padding='same') (batch4)\n    batch4 = BatchNormalization(axis=1)(conv4)\n    pool4 = MaxPooling2D(pool_size=(2, 2)) (batch4)\n    \n    conv5 = Conv2D(1024, (3, 3), activation='relu', padding='same') (pool4)\n    batch5 = BatchNormalization(axis=1)(conv5)\n    conv5 = Conv2D(1024, (3, 3), activation='relu', padding='same') (batch5)\n    batch5 = BatchNormalization(axis=1)(conv5)\n    \n    up6 = Conv2DTranspose(512, (2, 2), strides=(2, 2), padding='same') (batch5)\n    up6 = concatenate([up6, conv4], axis=1)\n    conv6 = Conv2D(512, (3, 3), activation='relu', padding='same') (up6)\n    batch6 = BatchNormalization(axis=1)(conv6)\n    conv6 = Conv2D(512, (3, 3), activation='relu', padding='same') (batch6)\n    batch6 = BatchNormalization(axis=1)(conv6)\n    \n    up7 = Conv2DTranspose(256, (2, 2), strides=(2, 2), padding='same') (batch6)\n    up7 = concatenate([up7, conv3], axis=1)\n    conv7 = Conv2D(256, (3, 3), activation='relu', padding='same') (up7)\n    batch7 = BatchNormalization(axis=1)(conv7)\n    conv7 = Conv2D(256, (3, 3), activation='relu', padding='same') (batch7)\n    batch7 = BatchNormalization(axis=1)(conv7)\n    \n    up8 = Conv2DTranspose(128, (2, 2), strides=(2, 2), padding='same') (batch7)\n    up8 = concatenate([up8, conv2], axis=1)\n    conv8 = Conv2D(128, (3, 3), activation='relu', padding='same') (up8)\n    batch8 = BatchNormalization(axis=1)(conv8)\n    conv8 = Conv2D(128, (3, 3), activation='relu', padding='same') (batch8)\n    batch8 = BatchNormalization(axis=1)(conv8)\n    \n    up9 = Conv2DTranspose(64, (2, 2), strides=(2, 2), padding='same') (batch8)\n    up9 = concatenate([up9, conv1], axis=1)\n    conv9 = Conv2D(64, (3, 3), activation='relu', padding='same') (up9)\n    batch9 = BatchNormalization(axis=1)(conv9)\n    conv9 = Conv2D(64, (3, 3), activation='relu', padding='same') (batch9)\n    batch9 = BatchNormalization(axis=1)(conv9)\n\n    conv10 = Conv2D(1, (1, 1), activation='sigmoid')(batch9)\n\n    model = Model(inputs=[inputs], outputs=[conv10])\n\n    model.compile(optimizer=Adam(lr=1e-4), loss=dice_coef_loss, metrics=[dice_coef])\n    \n    if(pretrained_weights):\n        model.load_weights(pretrained_weights)\n\n    return model","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"model = unet_model()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Train"},{"metadata":{"trusted":true},"cell_type":"code","source":"history = model.fit(train,\n          seg,\n          validation_split=0.20,\n          batch_size=8,\n          epochs=1,\n          verbose=1)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"model.save_weights(\"HubMap_weight_vs16.h5\")","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"model.save(\"HubMap_model_vs16.h5\")","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"score = model.evaluate(x=train,y=seg,batch_size=32)\nscore\nprint('Score Accuracy : {:.2f}%'.format(score[1]*100))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"print(history.history.keys())","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Accuracy graph"},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.plot(history.history['dice_coef'])\nplt.plot(history.history['val_dice_coef'])\nplt.legend(['Eğitim','Doğrulama'])\nplt.title('Doğruluk(Accuracy)%')\nplt.xlabel('Epoch Sayısı')\nplt.ylabel('Yüzde(%)')","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Loss graph"},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.plot(history.history['loss'])\nplt.plot(history.history['val_loss'])\nplt.legend(['Eğitim','Doğrulama'])\nplt.title('Kayıp Skoru(Loss)%')\nplt.xlabel('Epoch Sayısı')\nplt.ylabel('Yüzde(%)')","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Predict (eğitime katılmış görüntüler)"},{"metadata":{"trusted":true},"cell_type":"code","source":"from keras.models import load_model\nmodel = load_model(\"../input/hubmap-weight/HubMap_model.h5\", compile=False)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"x = 1293\nörnek = train[x]\nörnek = np.expand_dims(train[x],axis=0)\nprint(örnek.shape)\npred = model.predict(örnek)\n\n\nplt.figure(figsize=(15,10))\n\nplt.subplot(2,3,1)\nplt.imshow(train[x].reshape(512,512),cmap='gray')\nplt.title(\"Original image\")\n\nplt.subplot(2,3,2)\nplt.imshow(seg[x].reshape(512,512))\nplt.title(\"Doctor's segmentation\")\n\nplt.subplot(2,3,3)\nplt.imshow(pred.reshape(512,512))\nplt.title(\"Model's predict segmentation\")\n\nplt.subplot(234)\nplt.imshow(train[x].reshape(512,512))\nplt.subplot(235)\nplt.imshow(train[x].reshape(512,512).squeeze(), cmap=\"Greys\")\nplt.imshow(seg[x].reshape(512,512).squeeze(), alpha=0.5, cmap=\"Greens\")\nplt.subplot(236)\nplt.imshow(train[x].reshape(512,512), cmap=\"Greys\")\nplt.imshow(pred.reshape(512,512).squeeze(), alpha=0.5, cmap=\"OrRd\")\nplt.tight_layout()\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"x = 273\nörnek = train[x]\nörnek = np.expand_dims(train[x],axis=0)\nprint(örnek.shape)\npred = model.predict(örnek)\n\n\nplt.figure(figsize=(15,10))\n\nplt.subplot(2,3,1)\nplt.imshow(train[x].reshape(512,512),cmap='gray')\nplt.title(\"Original image\")\n\nplt.subplot(2,3,2)\nplt.imshow(seg[x].reshape(512,512))\nplt.title(\"Doctor's segmentation\")\n\nplt.subplot(2,3,3)\nplt.imshow(pred.reshape(512,512))\nplt.title(\"Model's predict segmentation\")\n\nplt.subplot(234)\nplt.imshow(train[x].reshape(512,512))\nplt.subplot(235)\nplt.imshow(train[x].reshape(512,512).squeeze(), cmap=\"Greys\")\nplt.imshow(seg[x].reshape(512,512).squeeze(), alpha=0.5, cmap=\"Greens\")\nplt.subplot(236)\nplt.imshow(train[x].reshape(512,512), cmap=\"Greys\")\nplt.imshow(pred.reshape(512,512).squeeze(), alpha=0.5, cmap=\"OrRd\")\nplt.tight_layout()\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"x =1278\nörnek = train[x]\nörnek = np.expand_dims(train[x],axis=0)\nprint(örnek.shape)\npred = model.predict(örnek)\n\n\nplt.figure(figsize=(15,10))\n\nplt.subplot(2,3,1)\nplt.imshow(train[x].reshape(512,512),cmap='gray')\nplt.title(\"Original image\")\n\nplt.subplot(2,3,2)\nplt.imshow(seg[x].reshape(512,512))\nplt.title(\"Doctor's segmentation\")\n\nplt.subplot(2,3,3)\nplt.imshow(pred.reshape(512,512))\nplt.title(\"Model's predict segmentation\")\n\nplt.subplot(234)\nplt.imshow(train[x].reshape(512,512))\nplt.subplot(235)\nplt.imshow(train[x].reshape(512,512).squeeze(), cmap=\"Greys\")\nplt.imshow(seg[x].reshape(512,512).squeeze(), alpha=0.5, cmap=\"Greens\")\nplt.subplot(236)\nplt.imshow(train[x].reshape(512,512), cmap=\"Greys\")\nplt.imshow(pred.reshape(512,512).squeeze(), alpha=0.5, cmap=\"OrRd\")\nplt.tight_layout()\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Predict Test image (eğitime katılmamış görüntülerdir)"},{"metadata":{"trusted":true},"cell_type":"code","source":"def test_array(file):\n    img = io.imread(file,as_gray=False) # görüntüleri okuyoruz\n    #img = cv2.resize(img,(256,256))\n    #img = img.transpose(2,0,1)\n    \n    #img = img[1,:,:]\n    \n    img.astype('float32')\n    return img\n\ndef test_seg_array(file):\n    img = io.imread(file) # görüntüleri okuyoruz\n    #img = cv2.resize(img,(256,256))\n    img.astype('float32')\n    img = np.expand_dims(img,axis=0)\n    return img","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"test = test_array('../input/hubmap-512x512/train/0486052bb_100.png')\ntest_seg = test_seg_array(\"../input/hubmap-512x512/masks/0486052bb_100.png\")\n\n#örnek = cv2.cvtColor(test, cv2.COLOR_BGR2GRAY)\n\n#örnek = test.copy()\n\n#img = np.expand_dims(örnek,axis=0)\nörnek = test/255 # standartize ediyoruz\n\nörnek = np.expand_dims(örnek,axis=0)\n\npred = model.predict(örnek)\n\n\nplt.figure(figsize=(15,10))\n\nplt.subplot(2,3,1)\nplt.imshow(test)\nplt.title(\"Original image\")\n\nplt.subplot(2,3,2)\nplt.imshow(test_seg.reshape(512,512))\nplt.title(\"Doctor's segmentation\")\n\nplt.subplot(2,3,3)\nplt.imshow(pred.reshape(512,512))\nplt.title(\"Model's predict segmentation\")\n\nplt.subplot(234)\nplt.imshow(test)\nplt.subplot(235)\nplt.imshow(test.squeeze(), cmap=\"Greys\")\nplt.imshow(test_seg.reshape(512,512).squeeze(), alpha=0.5, cmap=\"Greens\")\nplt.subplot(236)\nplt.imshow(test, cmap=\"Greys\")\nplt.imshow(pred.reshape(512,512).squeeze(), alpha=0.5, cmap=\"OrRd\")\nplt.tight_layout()\nplt.show()\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"test = test_array('../input/hubmap-512x512/train/0486052bb_129.png')\ntest_seg = test_seg_array(\"../input/hubmap-512x512/masks/0486052bb_129.png\")\n\n#örnek = cv2.cvtColor(test, cv2.COLOR_BGR2GRAY)\n\n#örnek = test.copy()\n\n#img = np.expand_dims(örnek,axis=0)\nörnek = test/255 # standartize ediyoruz\n\nörnek = np.expand_dims(örnek,axis=0)\n\npred = model.predict(örnek)\n\n\nplt.figure(figsize=(15,10))\n\nplt.subplot(2,3,1)\nplt.imshow(test)\nplt.title(\"Original image\")\n\nplt.subplot(2,3,2)\nplt.imshow(test_seg.reshape(512,512))\nplt.title(\"Doctor's segmentation\")\n\nplt.subplot(2,3,3)\nplt.imshow(pred.reshape(512,512))\nplt.title(\"Model's predict segmentation\")\n\nplt.subplot(234)\nplt.imshow(test)\nplt.subplot(235)\nplt.imshow(test.squeeze(), cmap=\"Greys\")\nplt.imshow(test_seg.reshape(512,512).squeeze(), alpha=0.5, cmap=\"Greens\")\nplt.subplot(236)\nplt.imshow(test, cmap=\"Greys\")\nplt.imshow(pred.reshape(512,512).squeeze(), alpha=0.5, cmap=\"OrRd\")\nplt.tight_layout()\nplt.show()\n\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"test = test_array('../input/hubmap-512x512/train/0486052bb_118.png')\ntest_seg = test_seg_array(\"../input/hubmap-512x512/masks/0486052bb_118.png\")\n\n#örnek = cv2.cvtColor(test, cv2.COLOR_BGR2GRAY)\n\n#örnek = test.copy()\n\n#img = np.expand_dims(örnek,axis=0)\nörnek = test/255 # standartize ediyoruz\n\nörnek = np.expand_dims(örnek,axis=0)\n\npred = model.predict(örnek)\n\n\nplt.figure(figsize=(15,10))\n\nplt.subplot(2,3,1)\nplt.imshow(test)\nplt.title(\"Original image\")\n\nplt.subplot(2,3,2)\nplt.imshow(test_seg.reshape(512,512))\nplt.title(\"Doctor's segmentation\")\n\nplt.subplot(2,3,3)\nplt.imshow(pred.reshape(512,512))\nplt.title(\"Model's predict segmentation\")\n\nplt.subplot(234)\nplt.imshow(test)\nplt.subplot(235)\nplt.imshow(test.squeeze(), cmap=\"Greys\")\nplt.imshow(test_seg.reshape(512,512).squeeze(), alpha=0.5, cmap=\"Greens\")\nplt.subplot(236)\nplt.imshow(test, cmap=\"Greys\")\nplt.imshow(pred.reshape(512,512).squeeze(), alpha=0.5, cmap=\"OrRd\")\nplt.tight_layout()\nplt.show()\n\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"test = test_array('../input/hubmap-512x512/train/0486052bb_203.png')\ntest_seg = test_seg_array(\"../input/hubmap-512x512/masks/0486052bb_203.png\")\n\n#örnek = cv2.cvtColor(test, cv2.COLOR_BGR2GRAY)\n\n#örnek = test.copy()\n\n#img = np.expand_dims(örnek,axis=0)\nörnek = test/255 # standartize ediyoruz\n\nörnek = np.expand_dims(örnek,axis=0)\n\npred = model.predict(örnek)\n\n\nplt.figure(figsize=(15,10))\n\nplt.subplot(2,3,1)\nplt.imshow(test)\nplt.title(\"Original image\")\n\nplt.subplot(2,3,2)\nplt.imshow(test_seg.reshape(512,512))\nplt.title(\"Doctor's segmentation\")\n\nplt.subplot(2,3,3)\nplt.imshow(pred.reshape(512,512))\nplt.title(\"Model's predict segmentation\")\n\nplt.subplot(234)\nplt.imshow(test)\nplt.subplot(235)\nplt.imshow(test.squeeze(), cmap=\"Greys\")\nplt.imshow(test_seg.reshape(512,512).squeeze(), alpha=0.5, cmap=\"Greens\")\nplt.subplot(236)\nplt.imshow(test, cmap=\"Greys\")\nplt.imshow(pred.reshape(512,512).squeeze(), alpha=0.5, cmap=\"OrRd\")\nplt.tight_layout()\nplt.show()\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"test = test_array('../input/hubmap-512x512/train/0486052bb_569.png')\ntest_seg = test_seg_array(\"../input/hubmap-512x512/masks/0486052bb_569.png\")\n\n#örnek = cv2.cvtColor(test, cv2.COLOR_BGR2GRAY)\n\n#örnek = test.copy()\n\n#img = np.expand_dims(örnek,axis=0)\nörnek = test/255 # standartize ediyoruz\n\nörnek = np.expand_dims(örnek,axis=0)\n\npred = model.predict(örnek)\n\n\nplt.figure(figsize=(15,10))\n\nplt.subplot(2,3,1)\nplt.imshow(test)\nplt.title(\"Original image\")\n\nplt.subplot(2,3,2)\nplt.imshow(test_seg.reshape(512,512))\nplt.title(\"Doctor's segmentation\")\n\nplt.subplot(2,3,3)\nplt.imshow(pred.reshape(512,512))\nplt.title(\"Model's predict segmentation\")\n\nplt.subplot(234)\nplt.imshow(test)\nplt.subplot(235)\nplt.imshow(test.squeeze(), cmap=\"Greys\")\nplt.imshow(test_seg.reshape(512,512).squeeze(), alpha=0.5, cmap=\"Greens\")\nplt.subplot(236)\nplt.imshow(test, cmap=\"Greys\")\nplt.imshow(pred.reshape(512,512).squeeze(), alpha=0.5, cmap=\"OrRd\")\nplt.tight_layout()\nplt.show()\n\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"test = test_array('../input/hubmap-512x512/train/0486052bb_711.png')\ntest_seg = test_seg_array(\"../input/hubmap-512x512/masks/0486052bb_711.png\")\n\n#örnek = cv2.cvtColor(test, cv2.COLOR_BGR2GRAY)\n\n#örnek = test.copy()\n\n#img = np.expand_dims(örnek,axis=0)\nörnek = test/255 # standartize ediyoruz\n\nörnek = np.expand_dims(örnek,axis=0)\n\npred = model.predict(örnek)\n\n\nplt.figure(figsize=(15,10))\n\nplt.subplot(2,3,1)\nplt.imshow(test)\nplt.title(\"Original image\")\n\nplt.subplot(2,3,2)\nplt.imshow(test_seg.reshape(512,512))\nplt.title(\"Doctor's segmentation\")\n\nplt.subplot(2,3,3)\nplt.imshow(pred.reshape(512,512))\nplt.title(\"Model's predict segmentation\")\n\nplt.subplot(234)\nplt.imshow(test)\nplt.subplot(235)\nplt.imshow(test.squeeze(), cmap=\"Greys\")\nplt.imshow(test_seg.reshape(512,512).squeeze(), alpha=0.5, cmap=\"Greens\")\nplt.subplot(236)\nplt.imshow(test, cmap=\"Greys\")\nplt.imshow(pred.reshape(512,512).squeeze(), alpha=0.5, cmap=\"OrRd\")\nplt.tight_layout()\nplt.show()\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"test = test_array('../input/hubmap-512x512/train/095bf7a1f_1073.png')\ntest_seg = test_seg_array(\"../input/hubmap-512x512/masks/095bf7a1f_1073.png\")\n\n#örnek = cv2.cvtColor(test, cv2.COLOR_BGR2GRAY)\n\n#örnek = test.copy()\n\n#img = np.expand_dims(örnek,axis=0)\nörnek = test/255 # standartize ediyoruz\n\nörnek = np.expand_dims(örnek,axis=0)\n\npred = model.predict(örnek)\n\n\nplt.figure(figsize=(15,10))\n\nplt.subplot(2,3,1)\nplt.imshow(test)\nplt.title(\"Original image\")\n\nplt.subplot(2,3,2)\nplt.imshow(test_seg.reshape(512,512))\nplt.title(\"Doctor's segmentation\")\n\nplt.subplot(2,3,3)\nplt.imshow(pred.reshape(512,512))\nplt.title(\"Model's predict segmentation\")\n\nplt.subplot(234)\nplt.imshow(test)\nplt.subplot(235)\nplt.imshow(test.squeeze(), cmap=\"Greys\")\nplt.imshow(test_seg.reshape(512,512).squeeze(), alpha=0.5, cmap=\"Greens\")\nplt.subplot(236)\nplt.imshow(test, cmap=\"Greys\")\nplt.imshow(pred.reshape(512,512).squeeze(), alpha=0.5, cmap=\"OrRd\")\nplt.tight_layout()\nplt.show()\n\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"test = test_array('../input/hubmap-512x512/train/095bf7a1f_1191.png')\ntest_seg = test_seg_array(\"../input/hubmap-512x512/masks/095bf7a1f_1191.png\")\n\n#örnek = cv2.cvtColor(test, cv2.COLOR_BGR2GRAY)\n\n#örnek = test.copy()\n\n#img = np.expand_dims(örnek,axis=0)\nörnek = test/255 # standartize ediyoruz\n\nörnek = np.expand_dims(örnek,axis=0)\n\npred = model.predict(örnek)\n\n\nplt.figure(figsize=(15,10))\n\nplt.subplot(2,3,1)\nplt.imshow(test)\nplt.title(\"Original image\")\n\nplt.subplot(2,3,2)\nplt.imshow(test_seg.reshape(512,512))\nplt.title(\"Doctor's segmentation\")\n\nplt.subplot(2,3,3)\nplt.imshow(pred.reshape(512,512))\nplt.title(\"Model's predict segmentation\")\n\nplt.subplot(234)\nplt.imshow(test)\nplt.subplot(235)\nplt.imshow(test.squeeze(), cmap=\"Greys\")\nplt.imshow(test_seg.reshape(512,512).squeeze(), alpha=0.5, cmap=\"Greens\")\nplt.subplot(236)\nplt.imshow(test, cmap=\"Greys\")\nplt.imshow(pred.reshape(512,512).squeeze(), alpha=0.5, cmap=\"OrRd\")\nplt.tight_layout()\nplt.show()\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"test = test_array('../input/hubmap-512x512/train/0486052bb_127.png')\ntest_seg = test_seg_array(\"../input/hubmap-512x512/masks/0486052bb_127.png\")\n\n#örnek = cv2.cvtColor(test, cv2.COLOR_BGR2GRAY)\n\n#örnek = test.copy()\n\n#img = np.expand_dims(örnek,axis=0)\nörnek = test/255 # standartize ediyoruz\n\nörnek = np.expand_dims(örnek,axis=0)\n\npred = model.predict(örnek)\n\n\nplt.figure(figsize=(15,10))\n\nplt.subplot(2,3,1)\nplt.imshow(test)\nplt.title(\"Original image\")\n\nplt.subplot(2,3,2)\nplt.imshow(test_seg.reshape(512,512))\nplt.title(\"Doctor's segmentation\")\n\nplt.subplot(2,3,3)\nplt.imshow(pred.reshape(512,512))\nplt.title(\"Model's predict segmentation\")\n\nplt.subplot(234)\nplt.imshow(test)\nplt.subplot(235)\nplt.imshow(test.squeeze(), cmap=\"Greys\")\nplt.imshow(test_seg.reshape(512,512).squeeze(), alpha=0.5, cmap=\"Greens\")\nplt.subplot(236)\nplt.imshow(test, cmap=\"Greys\")\nplt.imshow(pred.reshape(512,512).squeeze(), alpha=0.5, cmap=\"OrRd\")\nplt.tight_layout()\nplt.show()\n","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Submit"},{"metadata":{"trusted":true},"cell_type":"code","source":"import pandas as pd\nlocal_file = '../input/shift-sub/submission.csv'\n\ndf_submit = pd.read_csv('../input/hubmap-kidney-segmentation/sample_submission.csv', index_col='id')\ndf_local  = pd.read_csv(local_file, index_col='id')\n\ndf_submit.loc[df_local.index.values] = df_local.values  \ndf_submit.to_csv('submission.csv')\nprint(df_submit)\nprint('sucessful!')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat":4,"nbformat_minor":4}