commit npz file format

VinACE · VinACE · commit 516851d09e9d · 2019-07-01T20:31:29.000+05:30
diff --git a/.vscode/launch.json b/.vscode/launch.json
@@ -0,0 +1,15 @@
+{
+    // Use IntelliSense to learn about possible attributes.
+    // Hover to view descriptions of existing attributes.
+    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
+    "version": "0.2.0",
+    "configurations": [
+        {
+            "name": "Python: Current File",
+            "type": "python",
+            "request": "launch",
+            "program": "${file}",
+            "console": "integratedTerminal"
+        }
+    ]
+}
diff --git a/scripts/35_rename_files_os.py b/scripts/35_rename_files_os.py
@@ -0,0 +1,26 @@
+# https://www.geeksforgeeks.org/rename-multiple-files-using-python/
+# Pythono3 code to rename multiple  
+# files in a directory or folder 
+  
+# importing os module 
+import os 
+  
+# Function to rename multiple files 
+def main(): 
+    i = 0
+    import pdb; pdb.set_trace()
+    for filename in os.listdir("/home/superadmin/mrcnn/IDRBT Cheque Image Dataset/300"): 
+        dst = str(i) + ".jpg"
+        src = "/home/superadmin/mrcnn/IDRBT Cheque Image Dataset/300/" + filename 
+        dst = "/home/superadmin/mrcnn/IDRBT Cheque Image Dataset/300/" + dst 
+          
+        # rename() function will 
+        # rename all the files 
+        os.rename(src, dst) 
+        i += 1
+  
+# Driver Code 
+if __name__ == '__main__': 
+      
+    # Calling main() function 
+    main() 
diff --git a/scripts/36_json_npy_file.py b/scripts/36_json_npy_file.py
@@ -0,0 +1,14 @@
+
+import numpy as np
+import json
+def load_tester(path):
+    with open(path) as f:
+        data = json.load(f)
+    print(data)
+    return np.asarray(data)
+
+d = load_tester('/home/superadmin/Downloads/via_export_coco (3).json')
+
+print(type(d))
+
+np.save('mask.npy',d)
diff --git a/scripts/CV/read_hd5.py b/scripts/CV/read_hd5.py
diff --git a/scripts/CV/softmax.py b/scripts/CV/softmax.py
@@ -0,0 +1,18 @@
+# http://dataaspirant.com/2017/03/07/difference-between-softmax-function-and-sigmoid-function/
+import numpy as np
+
+def softmax(inputs):
+
+    """
+    Calculate the softmax for the give inputs (array)
+    :param inputs:
+    :return:
+    """
+    import pdb; pdb.set_trace()
+    l = np.exp(inputs)
+    print(f"np.exp(l) is {l}  and its type is {type(l)}")
+    sum_l = print(f"np.exp(l) is {float(sum(np.exp(inputs)))}  and its type is {type(float(sum(np.exp(inputs))))}")
+    
+    return np.exp(inputs)/ float(sum(np.exp(inputs)))
+softmax_inputs=[ 2,3,5,6]
+print(f"softmax functions output:: {softmax(softmax_inputs)}")
diff --git a/scripts/CV/tiff_png.py b/scripts/CV/tiff_png.py
@@ -0,0 +1,22 @@
+import os
+from PIL import Image
+
+# yourpath = os.getcwd()
+yourpath='/home/superadmin/mrcnn/IDRBT Cheque Image Dataset/300/'
+# import pdb; pdb.set_trace()
+for root, dirs, files in os.walk(yourpath, topdown=False):
+    for name in files:
+        print(os.path.join(root, name))
+        if os.path.splitext(os.path.join(root, name))[1].lower() == ".tif":
+            if os.path.isfile(os.path.splitext(os.path.join(root, name))[0] + ".jpg"):
+                print "A jpeg file already exists for %s" % name
+            # If a jpeg is *NOT* present, create one from the tiff.
+            else:
+                outfile = os.path.splitext(os.path.join(root, name))[0] + ".jpg"
+                try:
+                    im = Image.open(os.path.join(root, name))
+                    print "Generating jpeg for %s" % name
+                    im.thumbnail(im.size)
+                    im.save(outfile, "JPEG", quality=100)
+                except Exception, e:
+                    print e
diff --git a/scripts/NLP/bow.py b/scripts/NLP/bow.py
@@ -0,0 +1,13 @@
+sentences = """Thomas Jefferson began building Monticello at the\
+age of 26.\n"""
+sentences += """Construction was done mostly by local masons and\
+carpenters.\n"""
+sentences += "He moved into the South Pavilion in 1770. the \n"
+sentences += """Turning Monticello into a neoclassical masterpiece\
+    was Jefferson's obsession."""
+corpus = {}
+for i, sent in enumerate(sentences.split('\n')):
+    corpus['sent{}'.format(i)] = dict((tok, 1) for tok in sent.split())   
+print(corpus.keys())
+for k,v in corpus.items():
+    print(k,v)
diff --git a/scripts/mask.npy b/scripts/mask.npy
diff --git a/scripts/py_algorithms/fib3.py b/scripts/py_algorithms/fib3.py
@@ -0,0 +1,15 @@
+from typing import Dict 
+memo : Dict[int, int] = { 0:0, 1:1}
+
+print(f'memo is {memo}')
+
+def fib3(n : int) -> int:
+    # breakpoint()
+    if n not in memo:
+        print(f' n is {n}')
+        memo[n] = fib3(n-1) + fib3(n-2)
+        print(f' Dict memo is {memo[n]}')
+    return memo[n]
+
+if __name__ == "__main__":
+    print(f' calling fib n = {fib3(5)} ')
diff --git a/scripts/py_algorithms/fibonaci.py b/scripts/py_algorithms/fibonaci.py
@@ -0,0 +1,13 @@
+def fib1(n: int) -> int:
+    return fib1(n - 1) + fib1(n - 2)
+
+
+def fib2(n: int) -> int:
+    if n < 2: # base case
+        return n
+    # breakpoint()
+    return fib2(n - 2) + fib2(n - 1)
+    # recursive case
+
+if __name__ == "__main__":
+    print(fib2(5))
