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@FHermisch
Created February 7, 2021 14:46
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Usage of tf.data to build a custom pipeline for object detection
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Example Notebook to show a custom end-to-end usage of TFDataset with custom data and custom labels"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Building an efficient input pipeline is an important performance optimization for training deep neural networks. Beside this, it needs even to be well structured and transparent do be ruled out as a source for errors for your training. While a lot of current developments are running on PyTorch - Tensorflow is still the way to go if you plan to go to Edge Devices or if want to run on really giant training clusters with Terabytes of data. This is where the tf.data API with the tf.data.Dataset jumps in: having an efficient pipeline to provide you with training data which is also versatile to scale up and broaden into data-center like parallelism. \n",
"Although - using it with your own data can still be frustrating, as you (I did) constantly hit some edges of the existing example. This is my advice for you and and my biggest learning out of it: do not try to use any shortcut - use the fullblown pipeline as it is meant to be used and things will be incredibly easy to use and to understand.\n",
"Thats why I wrote this tutorial for you - provide one end-to-end example which is simple in its core but utilizes the core concepts of the tf.data API (without any shortcut of writing some files with special filenames in a directory structure of cats/dogs).\n",
"We use the following:\n",
"- 3000 images\n",
"- each images contains a dot of one of three colors\n",
"- each dot is places on a certain position on that image\n",
"\n",
"Of course we want to predict where the dot is and which color it has based on the given images.\n",
"Simple task, but can the labels be represented as a directory structure - I see no way. Do I want to save the labels in a CSV file to be matched again to images based on a UUID-filename - I tried that and it was no fun.\n",
"I want this together as Dataset records storing image data and label information and I want these streamed into my model for training.\n",
"Read on if you like that idea too.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In this article I mostly concentrate on the relevant code to make the pipeline based on tf.data working. You will get the full boiler-plate in the connected notebook file which I have shared."
]
},
{
"cell_type": "markdown",
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"source": [
"Import needed libraries.\n",
"We start with the Python native ones and continue with externals. "
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [],
"source": [
"import random\n",
"import enum\n",
"\n",
"import numpy as np\n",
"import cv2\n",
"import imageio as iio\n",
"\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "markdown",
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"source": [
"Import Tensorflow and layers module."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [],
"source": [
"import tensorflow as tf\n",
"import tensorflow.keras.layers as layers"
]
},
{
"cell_type": "markdown",
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"source": [
"As I want to share my GPU among multiple trainings and not consume all memory at once, I init memory growth and also enable the mixed-precision float16 calculation (I havent experienced much of an acceleration due to the Tensor-cores on the GTX2070 I use, but it will take up much less memory if roughly half of the activations are stored in 16bit floats)."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true,
"jupyter": {
"outputs_hidden": true,
"source_hidden": true
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1 Physical GPUs, 1 Logical GPUs\n",
"INFO:tensorflow:Mixed precision compatibility check (mixed_float16): OK\n",
"Your GPU will likely run quickly with dtype policy mixed_float16 as it has compute capability of at least 7.0. Your GPU: GeForce RTX 2070, compute capability 7.5\n"
]
}
],
"source": [
"gpus = tf.config.experimental.list_physical_devices('GPU')\n",
"if gpus:\n",
" try:\n",
" # Currently, memory growth needs to be the same across GPUs\n",
" for gpu in gpus:\n",
" tf.config.experimental.set_memory_growth(gpu, True)\n",
" logical_gpus = tf.config.experimental.list_logical_devices('GPU')\n",
" print(len(gpus), \"Physical GPUs,\", len(logical_gpus), \"Logical GPUs\")\n",
" except RuntimeError as e:\n",
" # Memory growth must be set before GPUs have been initialized\n",
" print(e)\n",
" \n",
"tf.keras.backend.clear_session()\n",
"\n",
"policy = tf.keras.mixed_precision.experimental.Policy('mixed_float16')\n",
"tf.keras.mixed_precision.experimental.set_policy(policy)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Create images\n",
"To 'simulate' rather complicated setups of generating test data (e.g. data augmentation, mechanical turks, etc.), I chose to generate images with some random data and use these. So no 'ready to use' set loaded from some internet source.\n",
"We create as simple images as possible for our test and validation data - this is no tutorial on how to do object detection but on building a pipeline. Important for us, the data we use will have a structural complexity which is comparable to custom image classification and object detection tasks. \n",
"As said before, our task is to detect the position of a rectangle within an image and the color of that rectangle."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can use just a plain black background. Or to have just something to look at, use some NASA image as these are often quite impressive and mostly public domain use."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Datatype/shape of baseimg, basewebimg: uint8 / (112, 112, 3) , uint8 / (112, 112, 3)\n"
]
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 504x504 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"def loadplainimage():\n",
" return np.zeros((112,112,3), dtype=np.uint8)\n",
"\n",
"def loadwebimage():\n",
" imr = iio.imread(\"https://www.nasa.gov/sites/default/files/styles/full_width_feature/public/thumbnails/image/ksc-20201123-ph-csh01_0001.jpg\")\n",
" return cv2.resize( imr, (112,112), interpolation=cv2.INTER_AREA).astype(np.uint8)\n",
"\n",
"baseimg = loadplainimage()\n",
"basewebimg = loadwebimage()\n",
"\n",
"print( \"Datatype/shape of baseimg, basewebimg:\", baseimg.dtype, \"/\", baseimg.shape, \", \", basewebimg.dtype, \"/\", basewebimg.shape)\n",
"\n",
"plt.figure(figsize=(7, 7))\n",
"\n",
"plt.subplot(1, 2, 1)\n",
"plt.title('Plain base image')\n",
"plt.imshow( baseimg)\n",
"\n",
"plt.subplot(1, 2, 2)\n",
"plt.title('Web base image')\n",
"plt.imshow( basewebimg)\n",
"\n",
"baseimg = basewebimg"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We continue with the NASA image. Note, both images are 112,112 size with RGB color channels as 'channels last' (Tensorflow style). \n",
"As you see, we added some explicit data type specifications - do this often if you start to use tf.data (or print out the type) to get aware which representation you have at a certain point in execution."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now, lets place some random things on that base. \n",
"We build a function which places an object of given color on that image and returns the position where the object was placed. \n",
"This is our simple solution to generate some 'object detection like' images."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In the 'placeobject' function we initialize the object to be placed on the image: \n",
"\n",
"* build a numpy array of ones in the size the object should have\n",
"* multiply by color value to convert every pixel into the desired color \n",
"\n",
"For placing the object on the image, we choose a random relative y and x position. Now, we can calculate the absolute pixel position and copy the object data into the base image. \n",
"The returned position represents the upper-left corner of the object."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [],
"source": [
"class ObjColorTypes(enum.IntEnum):\n",
" RED = 0\n",
" GREEN = 1\n",
" SPECIAL = 2\n",
" \n",
"COLORS = {}\n",
"COLORS[ObjColorTypes.RED] = (255,0,0)\n",
"COLORS[ObjColorTypes.GREEN] = (0,255,0)\n",
"COLORS[ObjColorTypes.SPECIAL] = (23,123,87)\n",
" \n",
"def placeobject(baseimg, colortype):\n",
" placeobj = np.ones((7,7,3))\n",
" placeobj *= COLORS[colortype]\n",
" rely, relx = random.random(), random.random()\n",
" absposy = (baseimg.shape[0] - placeobj.shape[0]) * rely\n",
" absposx = (baseimg.shape[1] - placeobj.shape[1]) * relx\n",
" retimg = baseimg.copy()\n",
" retimg[int(absposy):int(absposy+placeobj.shape[0]), int(absposx):int(absposx+placeobj.shape[1]),:] = placeobj\n",
" \n",
" return retimg, rely, relx\n",
" "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Lets have a look: there is now an object on our base image and the printed position matches with the objects position on the image."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Position 0.9109465116914442 0.13220923689802044\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"objimg, rely, relx = placeobject( baseimg, ObjColorTypes.RED)\n",
"\n",
"plt.title('Web base image')\n",
"plt.imshow( objimg)\n",
"print( \"Position\", rely, relx)\n",
" "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We now have a way to place objects with a certain color on a base image and know exactly the position we have placed this object on. Position and color will be our label/groundtruth for the later detection. The image containing the object will be our training data.\n",
"Lets automate this by choosing the color randomly and generate masses of these images and the labels. We used the savefunc as a parameter to initially just print out some values and later will provide here the function which is able to save the generated data as TFRecords. \n",
" "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Lets generate 12 images.\n"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Generated data (112, 112, 3) 0.8395090863371965 0.9547828984929204 ObjColorTypes.SPECIAL\n",
"Generated data (112, 112, 3) 0.5531254931489215 0.4768844126516376 ObjColorTypes.GREEN\n",
"Generated data (112, 112, 3) 0.47239734539676304 0.23156864975331592 ObjColorTypes.RED\n",
"Generated data (112, 112, 3) 0.539600313491926 0.14757914149460205 ObjColorTypes.SPECIAL\n",
"Generated data (112, 112, 3) 0.6978451492963156 0.5689848230831969 ObjColorTypes.RED\n",
"Generated data (112, 112, 3) 0.06524267890882673 0.929082398073511 ObjColorTypes.SPECIAL\n",
"Generated data (112, 112, 3) 0.027274454659209413 0.3877740068146871 ObjColorTypes.GREEN\n",
"Generated data (112, 112, 3) 0.592388299742071 0.9422174284181053 ObjColorTypes.SPECIAL\n",
"Generated data (112, 112, 3) 0.8188171563974531 0.10015603393228978 ObjColorTypes.GREEN\n",
"Generated data (112, 112, 3) 0.37465340179560525 0.3772916666516464 ObjColorTypes.RED\n",
"Generated data (112, 112, 3) 0.6235096441332026 0.40732170150244384 ObjColorTypes.RED\n",
"Generated data (112, 112, 3) 0.35833627770401966 0.486747285722685 ObjColorTypes.RED\n"
]
}
],
"source": [
"\n",
"def generatedata(baseimg, numrecords, savefunc):\n",
" for _ in range(numrecords):\n",
" randcolor = random.choice(list(ObjColorTypes))\n",
" genimg, rely, relx = placeobject( baseimg, randcolor)\n",
" savefunc( genimg, rely, relx, randcolor)\n",
" \n",
"def justprint( img, rely, relx, colortype):\n",
" print(\"Generated data\", img.shape, rely, relx, colortype)\n",
" \n",
"generatedata(baseimg, 12, justprint) \n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We should also have a visual look on the data. Later we want to train an AI to learn something from these image - so be nice to the AI and have a look yourself before you feed it to the AI: are you able to see what you want the AI to see?!"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x648 with 12 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"\n",
"class DataShow():\n",
" def __init__(self, row=3, col=4):\n",
" self.fig, self.axs = plt.subplots(row, col, figsize=(col*3, row*3))\n",
" self.drawpos = 0\n",
" \n",
" def showdata( self, img, rely, relx, colortype): \n",
" self.axs[ self.drawpos // self.axs.shape[1], self.drawpos % self.axs.shape[1]].imshow(img)\n",
" self.drawpos += 1\n",
" \n",
"dshow = DataShow()\n",
" \n",
"generatedata(baseimg, 12, dshow.showdata) \n",
"\n",
" "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Write TFRecord data ##\n",
"First, we setup a class which contains all the needed things to write these records. Pardon me, as I was raised with OO paradigms and having classes and instantiated objects often just feels natural to me. You can use functions with partial parameters or anything else here too.\n",
" \n",
"We construct a TFRecord writer which will be used to write data to disk in a tfrecord format. TFRecord is a way to store data examples in a sequential way. Whereby, each example consists of a bunch of features. \n",
"We define our features within the 'write_record' function as a dictionary. In this case, we do have image-data, position of the object on the image, color of the object and we also do want to store the shape of the image data.\n",
"TFRecord allows certain datatypes to be selected for a feature. We go with byte_list and float_list for our feaures.\n",
"Now, put your actual data into the features: we start with having data in Numpies which is just super convenient. We flat them out ('.ravel()') and put them to the respecive feature-constructor. You may wonder why we store the image data as floats? This is a design choice and here we already stored the image data with color values in the 0<=val<=1 range so we can later feed this direcly to the training. You will see that there are a couple of places suitable for data conversions - if you save it as uINT8 you can later convert it in the feeding pipeline.\n",
"Last thing we need is a way to close the writer to assure everything is written to disk. We added a close_writer method to do this (little add-on: you might change this to work together with the python 'with' statement)."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"import random\n",
"\n",
"class QTFRec():\n",
" \n",
" def __init__(self, fname):\n",
" self.fname = fname\n",
" self.tfwriter = tf.io.TFRecordWriter(self.fname)\n",
" \n",
" def _bytes_feature(self, nparr):\n",
" return tf.train.Feature(bytes_list=tf.train.BytesList(value=[nparr.tobytes()])) \n",
"\n",
" def _float_feature(self, nparr):\n",
" return tf.train.Feature(float_list=tf.train.FloatList(value=nparr)) \n",
"\n",
" def write_record(self, image, poslabel, collabel):\n",
"\n",
" feature = {\n",
" 'image_raw': self._float_feature(image.ravel()), \n",
" 'img_shape': self._bytes_feature(np.array(image.shape, dtype=np.uint8).ravel()),\n",
" 'poslabel': self._float_feature(poslabel.ravel()),\n",
" 'collabel': self._float_feature(collabel.ravel())\n",
" }\n",
"\n",
" tf_example = tf.train.Example(features=tf.train.Features(feature=feature))\n",
" self.tfwriter.write(tf_example.SerializeToString())\n",
" \n",
" def close_record(self):\n",
" self.tfwriter.flush()\n",
" self.tfwriter.close()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Thats it.\n",
"One more thing we will come back to: we currently do not write validation data seperated feom the training data. One might think that there will be a simple 'split_dataset' function which we can use later, but there is none. This is understandable as tf.data is build to work with billions of records and one does not simply split billions of records in a certain way. We will later extend our class to actually write two sets of records. We will do this just randomly, but this will also be the spot to put some logic to split the data in a more 'intelligent' way - e.g. assure in a face detection scenario that the validation set will only contain people not present in the training set at all. This logic should be close to the generation of the data and cant be done later.\n",
"But lets continue with the training data first...\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We create an instance of QTFRec and build another small class to encapsulate this and provide a function which just suits our callback of the data generation. \n",
"Lets generate 50 examples first."
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [],
"source": [
"fname = 'testdata.tfrecord'\n",
"qtfr = QTFRec(fname)\n",
"\n",
"class TFRsaver():\n",
" def __init__(self, qtfr):\n",
" self.qtfr = qtfr\n",
" \n",
" def savedata( self, img, rely, relx, colortype): \n",
" self.qtfr.write_record( \n",
" (img /255.).astype(np.float32),\n",
" np.array((rely, relx)).astype(np.float32),\n",
" np.array((colortype,)).astype(np.float32)\n",
" )\n",
" \n",
"tfrsaver = TFRsaver( qtfr)\n",
"\n",
"generatedata(baseimg, 50, tfrsaver.savedata) \n",
"qtfr.close_record()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Ok, this works. Now use a resonable amount of records to generate our training set."
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"qtfr = QTFRec(fname)\n",
"tfrsaver = TFRsaver( qtfr)\n",
"generatedata(baseimg, 3000, tfrsaver.savedata) \n",
"qtfr.close_record()"
]
},
{
"cell_type": "markdown",
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"source": [
"Check if the file is written and has some size."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"collapsed": true,
"jupyter": {
"outputs_hidden": true,
"source_hidden": true
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"432M\ttestdata.tfrecord\n"
]
}
],
"source": [
"!du -sh {fname}"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Thats it. Lets use this dataset to setup an input pipeline to train a model.\n",
"The next steps are quite comparable to tutorials using tfds, like e.g. MNist from tfds. We will show the part which takes some conversion logic as to adapt our data to the model training needs (we could have also written the data before in a better suited way, but lets have this to show you places where you can put in your custom conversion needs for you data and pipeline)."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Build the pipeline"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"First, we set some constants to be later used: filename of training file, batchsize."
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [],
"source": [
"TRAINSET_FNAME = 'testdata.tfrecord'\n",
"BATCHSIZE = 64 "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Opening the written dataset again is easy. Lets do it and have a look on how we can access the contents.\n",
"TFRecordDataset is a subclass of TFDataset."
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"tfrds = tf.data.TFRecordDataset(TRAINSET_FNAME)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can go with the online documentation, but I like the convenient style of using the built-in help() to see what type I got and what functions it offers."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [],
"source": [
"help(tfrds)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As expected, a TFRecordDatasetV2. Noteable functions:\n",
"- apply: for mapping a tranformation function on it and building a pipeline of transformations: looks good - we will later use this\n",
"- as_numpy_iterator: this sounds handy for investigating the structure and the contents\n",
"- 'other pipeline functions, batch/ shuffle/ etc.': looks like everything uses the set as a pipeline\n",
"- take: takes an amounth of elements out of the end of the pipeline"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Lets play around to see what is happening:"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'tensorflow.python.framework.ops.EagerTensor'>\n",
"<class 'bytes'>\n",
"(150629,)\n",
"<class 'tensorflow.python.data.ops.dataset_ops.TakeDataset'>\n"
]
}
],
"source": [
"for elem in tfrds:\n",
" print( type(elem))\n",
" break\n",
" \n",
"for npelem in tfrds.as_numpy_iterator():\n",
" print( type(npelem))\n",
" barr = np.frombuffer(npelem, dtype=np.byte )\n",
" print( barr.shape)\n",
" break\n",
" \n",
"oneelem = tfrds.take(1)\n",
"print( type(oneelem))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We got a numpy shape of 150629 - this should be 112x112x3 = 37632 ??? Wait what happened? Ok, we stored the image data as floats (out of convenience) and therefore we have blown every color value from one byte (uint8) to 4 bytes (float32). We should really change this - so always have a look at your data. Thinking about it, it is crystal clear but I missed it. I leave it here for you as an example. There are much better ways to waste your disk and IO then storing 4 times the size just out of convenience."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Lets continue. We got a tensor from the dataset and we have options to map different transformations to that set. We build a DataRead class which acts as the counterpart of our writer class from above. We first have to parse the tensor as everything inside is just bytes. Therefore, setup a feature_description dictionary for the different elements. Our 'prepdata' function will later be mapped to the pipeline. We parse a single entry to be able to access every single feature within a record as specified. \n",
"This is a good point to put additional transformation code for the data. \n",
"We have to transformations to do:\n",
"- reshape the raw imagedata back into something structured: we decode the shape first and use this to reshape the imagedata back into its original 112x112x3 shape \n",
"- put label data together in one tensor: we concat the position label with the colortype which we convert to a one-hot representation before \n",
"\n",
"Now we got nice image data in 1x112x112x3 to feed for training an a label as 1x5 for the target/ groundtruth.\n"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"class DataRead():\n",
" def __init__(self):\n",
" self.feature_description = { \n",
" 'image_raw': tf.io.VarLenFeature( dtype=tf.float32),\n",
" 'img_shape': tf.io.FixedLenFeature([], tf.string),\n",
" 'poslabel': tf.io.VarLenFeature( dtype=tf.float32),\n",
" 'collabel': tf.io.VarLenFeature( dtype=tf.float32) \n",
" } \n",
"\n",
" def prepdata( self, fmap):\n",
" pmap = tf.io.parse_single_example(fmap, self.feature_description)\n",
"\n",
" imgraw = tf.sparse.to_dense(pmap['image_raw'])\n",
" imshape = tf.io.decode_raw(pmap['img_shape'], tf.uint8)\n",
" poslabel = tf.sparse.to_dense(pmap['poslabel'])\n",
" collabel = tf.one_hot( tf.cast( tf.sparse.to_dense(pmap['collabel']), tf.uint8), tf.constant(3))[0]\n",
" \n",
" return (tf.reshape( imgraw, tf.cast(imshape, tf.int32)),\n",
" tf.concat( [poslabel,collabel], axis=-1))\n",
" "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The pipeline just maps a bunch of transformations together. Map the parsing function we just built. Map a caching function. Shuffle data after each full iteration. Form batches out of the single piped items. Start some prefetching to always have batches for the training ready then they are needed. "
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"datar = DataRead()\n",
"\n",
"traindat = tfrds.map( datar.prepdata, num_parallel_calls=tf.data.experimental.AUTOTUNE)\n",
"traindat = traindat.cache()\n",
"traindat = traindat.shuffle(1000, seed=1234, reshuffle_each_iteration=True)\n",
"traindat = traindat.batch(BATCHSIZE, drop_remainder=True)\n",
"traindat = traindat.prefetch( tf.data.experimental.AUTOTUNE)\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As the result is still a TFDataset, we use the as_numpy_iterator function again to see if everything looks good and if we can visualize the image data and labels."
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[0.602948 0.2850269 0. 0. 1. ]\n"
]
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"data, label = traindat.as_numpy_iterator().next()\n",
"data[0].shape\n",
"plt.imshow( data[0])\n",
"print( label[0])\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Looks great and the label matches the content."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## A VERY simple object detection"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This article is not focussed on how to do object detection. So we do not get into detail for the next steps:\n",
"Setup a model with a few convolutions and some fully connected layers at the end. Output is just a sigmoid which will be trained to match our labels (this is VERY basic but works for this extremely simplified example)."
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Model: \"functional_1\"\n",
"_________________________________________________________________\n",
"Layer (type) Output Shape Param # \n",
"=================================================================\n",
"input_1 (InputLayer) [(None, 112, 112, 3)] 0 \n",
"_________________________________________________________________\n",
"conv2d (Conv2D) (None, 112, 112, 16) 448 \n",
"_________________________________________________________________\n",
"re_lu (ReLU) (None, 112, 112, 16) 0 \n",
"_________________________________________________________________\n",
"max_pooling2d (MaxPooling2D) (None, 38, 38, 16) 0 \n",
"_________________________________________________________________\n",
"conv2d_1 (Conv2D) (None, 38, 38, 32) 4640 \n",
"_________________________________________________________________\n",
"re_lu_1 (ReLU) (None, 38, 38, 32) 0 \n",
"_________________________________________________________________\n",
"max_pooling2d_1 (MaxPooling2 (None, 13, 13, 32) 0 \n",
"_________________________________________________________________\n",
"flatten (Flatten) (None, 5408) 0 \n",
"_________________________________________________________________\n",
"dropout (Dropout) (None, 5408) 0 \n",
"_________________________________________________________________\n",
"dense (Dense) (None, 128) 692352 \n",
"_________________________________________________________________\n",
"re_lu_2 (ReLU) (None, 128) 0 \n",
"_________________________________________________________________\n",
"dense_1 (Dense) (None, 64) 8256 \n",
"_________________________________________________________________\n",
"re_lu_3 (ReLU) (None, 64) 0 \n",
"_________________________________________________________________\n",
"batch_normalization (BatchNo (None, 64) 256 \n",
"_________________________________________________________________\n",
"dense_2 (Dense) (None, 5) 325 \n",
"=================================================================\n",
"Total params: 706,277\n",
"Trainable params: 706,149\n",
"Non-trainable params: 128\n",
"_________________________________________________________________\n"
]
}
],
"source": [
"def genmodel():\n",
"\n",
" minput = layers.Input( shape=(112,112,3,), dtype=\"float32\")\n",
" bmod = minput\n",
" bmod = layers.Conv2D(filters=16, kernel_size= (3, 3), padding = 'same')(bmod)\n",
" bmod = layers.ReLU()(bmod)\n",
" bmod = layers.MaxPooling2D(pool_size=(3, 3), strides=(3,3), padding = 'same')(bmod) \n",
" bmod = layers.Conv2D(filters=32, kernel_size= (3, 3), padding = 'same')(bmod)\n",
" bmod = layers.ReLU()(bmod)\n",
" bmod = layers.MaxPooling2D(pool_size=(3, 3), strides=(3,3), padding = 'same')(bmod) \n",
" bmod = layers.Flatten()(bmod)\n",
" bmod = layers.Dropout(0.1)(bmod) \n",
" bmod = layers.Dense(128, dtype=\"float32\")(bmod)\n",
" bmod = layers.ReLU()(bmod)\n",
" bmod = layers.Dense(64, dtype=\"float32\")(bmod)\n",
" bmod = layers.ReLU()(bmod)\n",
" bmod = layers.BatchNormalization()(bmod)\n",
" mout = layers.Dense(5, activation='sigmoid', dtype=\"float32\")(bmod)\n",
"\n",
" sdetect = tf.keras.Model( inputs=minput, outputs=mout)\n",
"\n",
" sdetect.build(input_shape=(112,112,3,))\n",
" sdetect.summary()\n",
" \n",
" return sdetect\n",
"\n",
"sdetect = genmodel()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Compile it with SGD as optimizer and MeanSquaredError as loss."
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [],
"source": [
"sdetect.compile(\n",
" optimizer = tf.keras.optimizers.SGD(learning_rate=3e-3, momentum=0.9, nesterov=True) ,\n",
" loss = tf.keras.losses.MeanSquaredError()\n",
")\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Run it and ... oh wait ... we have no validation data!"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/10\n",
"46/46 [==============================] - 1s 15ms/step - loss: 0.1976\n",
"Epoch 2/10\n",
"46/46 [==============================] - 1s 15ms/step - loss: 0.1801\n",
"Epoch 3/10\n",
"46/46 [==============================] - 1s 14ms/step - loss: 0.1655\n",
"Epoch 4/10\n",
"46/46 [==============================] - 1s 14ms/step - loss: 0.1432\n",
"Epoch 5/10\n",
"46/46 [==============================] - 1s 14ms/step - loss: 0.1222\n",
"Epoch 6/10\n",
"46/46 [==============================] - 1s 14ms/step - loss: 0.1062\n",
"Epoch 7/10\n",
"46/46 [==============================] - 1s 15ms/step - loss: 0.0916\n",
"Epoch 8/10\n",
"46/46 [==============================] - 1s 14ms/step - loss: 0.0792\n",
"Epoch 9/10\n",
"46/46 [==============================] - 1s 19ms/step - loss: 0.0667\n",
"Epoch 10/10\n",
"46/46 [==============================] - 1s 12ms/step - loss: 0.0556\n"
]
}
],
"source": [
"history = sdetect.fit(\n",
" traindat,\n",
" epochs=10\n",
")\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We do need a validation set to get any meaningful insights if the training works. Lets change our code for writing the data. We want to spare a certain percentage of our images for validation and save these to another TFDataset.\n",
"The added code mostly initializes (and later closes) an additional writer. Within the 'write_record' there is a random step added which generates a uniform random between 0 and 1 and routes the just generated data to training or validation according to the comparison with the provided validation split percentage."
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [],
"source": [
"class QTFRecVal():\n",
" \n",
" def __init__(self, fname, valshare=None, valname=None):\n",
" self.valshare = valshare \n",
" self.valname = valname\n",
" self.fname = fname\n",
" self.tfwriter = tf.io.TFRecordWriter(self.fname)\n",
" if self.valshare is not None:\n",
" self.tfvalwriter = tf.io.TFRecordWriter(self.valname)\n",
"\n",
" def _bytes_feature(self, nparr):\n",
" return tf.train.Feature(bytes_list=tf.train.BytesList(value=[nparr.tobytes()])) \n",
"\n",
" def _float_feature(self, nparr):\n",
" return tf.train.Feature(float_list=tf.train.FloatList(value=nparr)) \n",
"\n",
" def write_record(self, image, poslabel, collabel):\n",
"\n",
" feature = {\n",
" 'image_raw': self._float_feature(image.ravel()), \n",
" 'img_shape': self._bytes_feature(np.array(image.shape, dtype=np.uint8).ravel()),\n",
" 'poslabel': self._float_feature(poslabel.ravel()),\n",
" 'collabel': self._float_feature(collabel.ravel())\n",
" }\n",
"\n",
" tf_example = tf.train.Example(features=tf.train.Features(feature=feature))\n",
"\n",
" if self.valshare is not None:\n",
" if random.random() < self.valshare:\n",
" self.tfvalwriter.write(tf_example.SerializeToString())\n",
" else:\n",
" self.tfwriter.write(tf_example.SerializeToString())\n",
" else: \n",
" self.tfwriter.write(tf_example.SerializeToString())\n",
" \n",
" def close_record(self):\n",
" self.tfwriter.flush()\n",
" self.tfwriter.close()\n",
" if self.valshare is not None:\n",
" self.tfvalwriter.flush()\n",
" self.tfvalwriter.close()\n",
" "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We run again and provide filenames for train and validation as well as a split percentage of 20%."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [],
"source": [
"FNAME = 'testdata.tfrecord'\n",
"FNAMEVAL = 'testdataval.tfrecord'"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"qtfrec = QTFRecVal(FNAME, 0.2, FNAMEVAL)\n",
"tfrsaver = TFRsaver( qtfrec)\n",
"generatedata(baseimg, 3000, tfrsaver.savedata) \n",
"qtfrec.close_record()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Run to generate 3000 images (20% will be put to the validation set)."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Build a second pipeline for the validation (we dont have to shuffle the validation)."
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [],
"source": [
"datar = DataRead()\n",
"\n",
"tfrds = tf.data.TFRecordDataset(FNAME)\n",
"\n",
"traindat = tfrds.map( datar.prepdata, num_parallel_calls=tf.data.experimental.AUTOTUNE)\n",
"traindat = traindat.cache()\n",
"traindat = traindat.shuffle(1000, seed=1234, reshuffle_each_iteration=True)\n",
"traindat = traindat.batch(BATCHSIZE, drop_remainder=True)\n",
"traindat = traindat.prefetch( tf.data.experimental.AUTOTUNE)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"tfvalrds = tf.data.TFRecordDataset(FNAMEVAL)\n",
"valdat = tfvalrds.map( datar.prepdata, num_parallel_calls=tf.data.experimental.AUTOTUNE)\n",
"valdat = valdat.cache()\n",
"valdat = valdat.batch(BATCHSIZE, drop_remainder=True)\n",
"valdat = valdat.prefetch( tf.data.experimental.AUTOTUNE)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Generate and compile our model again."
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"collapsed": true,
"jupyter": {
"outputs_hidden": true,
"source_hidden": true
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Model: \"functional_3\"\n",
"_________________________________________________________________\n",
"Layer (type) Output Shape Param # \n",
"=================================================================\n",
"input_2 (InputLayer) [(None, 112, 112, 3)] 0 \n",
"_________________________________________________________________\n",
"conv2d_2 (Conv2D) (None, 112, 112, 16) 448 \n",
"_________________________________________________________________\n",
"re_lu_4 (ReLU) (None, 112, 112, 16) 0 \n",
"_________________________________________________________________\n",
"max_pooling2d_2 (MaxPooling2 (None, 38, 38, 16) 0 \n",
"_________________________________________________________________\n",
"conv2d_3 (Conv2D) (None, 38, 38, 32) 4640 \n",
"_________________________________________________________________\n",
"re_lu_5 (ReLU) (None, 38, 38, 32) 0 \n",
"_________________________________________________________________\n",
"max_pooling2d_3 (MaxPooling2 (None, 13, 13, 32) 0 \n",
"_________________________________________________________________\n",
"flatten_1 (Flatten) (None, 5408) 0 \n",
"_________________________________________________________________\n",
"dropout_1 (Dropout) (None, 5408) 0 \n",
"_________________________________________________________________\n",
"dense_3 (Dense) (None, 128) 692352 \n",
"_________________________________________________________________\n",
"re_lu_6 (ReLU) (None, 128) 0 \n",
"_________________________________________________________________\n",
"dense_4 (Dense) (None, 64) 8256 \n",
"_________________________________________________________________\n",
"re_lu_7 (ReLU) (None, 64) 0 \n",
"_________________________________________________________________\n",
"batch_normalization_1 (Batch (None, 64) 256 \n",
"_________________________________________________________________\n",
"dense_5 (Dense) (None, 5) 325 \n",
"=================================================================\n",
"Total params: 706,277\n",
"Trainable params: 706,149\n",
"Non-trainable params: 128\n",
"_________________________________________________________________\n"
]
}
],
"source": [
"sdetect = genmodel()\n",
"\n",
"sdetect.compile(\n",
" optimizer = tf.keras.optimizers.SGD(learning_rate=1e-2, momentum=0.85, nesterov=True),\n",
" loss = tf.keras.losses.MeanSquaredError()\n",
")\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Run for 100 epochs."
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/100\n",
"38/38 [==============================] - 1s 22ms/step - loss: 0.1924 - val_loss: 0.1777\n",
"Epoch 2/100\n",
"38/38 [==============================] - 1s 20ms/step - loss: 0.1723 - val_loss: 0.1738\n",
"Epoch 3/100\n",
"38/38 [==============================] - 1s 18ms/step - loss: 0.1548 - val_loss: 0.1694\n",
"Epoch 4/100\n",
"38/38 [==============================] - 1s 18ms/step - loss: 0.1225 - val_loss: 0.1624\n",
"Epoch 5/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0824 - val_loss: 0.1508\n",
"Epoch 6/100\n",
"38/38 [==============================] - 1s 20ms/step - loss: 0.0507 - val_loss: 0.1350\n",
"Epoch 7/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0351 - val_loss: 0.1177\n",
"Epoch 8/100\n",
"38/38 [==============================] - 1s 18ms/step - loss: 0.0262 - val_loss: 0.0996\n",
"Epoch 9/100\n",
"38/38 [==============================] - 1s 18ms/step - loss: 0.0219 - val_loss: 0.0819\n",
"Epoch 10/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0187 - val_loss: 0.0658\n",
"Epoch 11/100\n",
"38/38 [==============================] - 1s 20ms/step - loss: 0.0168 - val_loss: 0.0480\n",
"Epoch 12/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0148 - val_loss: 0.0358\n",
"Epoch 13/100\n",
"38/38 [==============================] - 1s 18ms/step - loss: 0.0135 - val_loss: 0.0264\n",
"Epoch 14/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0124 - val_loss: 0.0192\n",
"Epoch 15/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0113 - val_loss: 0.0149\n",
"Epoch 16/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0109 - val_loss: 0.0114\n",
"Epoch 17/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0097 - val_loss: 0.0098\n",
"Epoch 18/100\n",
"38/38 [==============================] - 1s 18ms/step - loss: 0.0091 - val_loss: 0.0078\n",
"Epoch 19/100\n",
"38/38 [==============================] - 1s 18ms/step - loss: 0.0088 - val_loss: 0.0070\n",
"Epoch 20/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0081 - val_loss: 0.0061\n",
"Epoch 21/100\n",
"38/38 [==============================] - 1s 20ms/step - loss: 0.0077 - val_loss: 0.0064\n",
"Epoch 22/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0071 - val_loss: 0.0055\n",
"Epoch 23/100\n",
"38/38 [==============================] - 1s 18ms/step - loss: 0.0068 - val_loss: 0.0047\n",
"Epoch 24/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0067 - val_loss: 0.0044\n",
"Epoch 25/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0064 - val_loss: 0.0047\n",
"Epoch 26/100\n",
"38/38 [==============================] - 1s 21ms/step - loss: 0.0066 - val_loss: 0.0039\n",
"Epoch 27/100\n",
"38/38 [==============================] - 1s 21ms/step - loss: 0.0061 - val_loss: 0.0038\n",
"Epoch 28/100\n",
"38/38 [==============================] - 1s 21ms/step - loss: 0.0055 - val_loss: 0.0037\n",
"Epoch 29/100\n",
"38/38 [==============================] - 1s 16ms/step - loss: 0.0055 - val_loss: 0.0035\n",
"Epoch 30/100\n",
"38/38 [==============================] - 0s 13ms/step - loss: 0.0052 - val_loss: 0.0031\n",
"Epoch 31/100\n",
"38/38 [==============================] - 1s 16ms/step - loss: 0.0051 - val_loss: 0.0030\n",
"Epoch 32/100\n",
"38/38 [==============================] - 1s 16ms/step - loss: 0.0049 - val_loss: 0.0029\n",
"Epoch 33/100\n",
"38/38 [==============================] - 1s 16ms/step - loss: 0.0048 - val_loss: 0.0028\n",
"Epoch 34/100\n",
"38/38 [==============================] - 1s 16ms/step - loss: 0.0047 - val_loss: 0.0027\n",
"Epoch 35/100\n",
"38/38 [==============================] - 1s 16ms/step - loss: 0.0045 - val_loss: 0.0026\n",
"Epoch 36/100\n",
"38/38 [==============================] - 1s 16ms/step - loss: 0.0042 - val_loss: 0.0025\n",
"Epoch 37/100\n",
"38/38 [==============================] - 1s 16ms/step - loss: 0.0044 - val_loss: 0.0024\n",
"Epoch 38/100\n",
"38/38 [==============================] - 1s 16ms/step - loss: 0.0041 - val_loss: 0.0024\n",
"Epoch 39/100\n",
"38/38 [==============================] - 1s 16ms/step - loss: 0.0039 - val_loss: 0.0023\n",
"Epoch 40/100\n",
"38/38 [==============================] - 1s 16ms/step - loss: 0.0041 - val_loss: 0.0022\n",
"Epoch 41/100\n",
"38/38 [==============================] - 1s 16ms/step - loss: 0.0040 - val_loss: 0.0021\n",
"Epoch 42/100\n",
"38/38 [==============================] - 1s 16ms/step - loss: 0.0039 - val_loss: 0.0021\n",
"Epoch 43/100\n",
"38/38 [==============================] - 1s 16ms/step - loss: 0.0040 - val_loss: 0.0020\n",
"Epoch 44/100\n",
"38/38 [==============================] - 1s 20ms/step - loss: 0.0037 - val_loss: 0.0019\n",
"Epoch 45/100\n",
"38/38 [==============================] - 1s 14ms/step - loss: 0.0035 - val_loss: 0.0019\n",
"Epoch 46/100\n",
"38/38 [==============================] - 1s 16ms/step - loss: 0.0035 - val_loss: 0.0019\n",
"Epoch 47/100\n",
"38/38 [==============================] - 1s 20ms/step - loss: 0.0034 - val_loss: 0.0018\n",
"Epoch 48/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0036 - val_loss: 0.0018\n",
"Epoch 49/100\n",
"38/38 [==============================] - 1s 18ms/step - loss: 0.0032 - val_loss: 0.0017\n",
"Epoch 50/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0034 - val_loss: 0.0017\n",
"Epoch 51/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0030 - val_loss: 0.0016\n",
"Epoch 52/100\n",
"38/38 [==============================] - 1s 20ms/step - loss: 0.0032 - val_loss: 0.0016\n",
"Epoch 53/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0030 - val_loss: 0.0016\n",
"Epoch 54/100\n",
"38/38 [==============================] - 1s 18ms/step - loss: 0.0030 - val_loss: 0.0015\n",
"Epoch 55/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0031 - val_loss: 0.0015\n",
"Epoch 56/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0029 - val_loss: 0.0015\n",
"Epoch 57/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0028 - val_loss: 0.0014\n",
"Epoch 58/100\n",
"38/38 [==============================] - 1s 18ms/step - loss: 0.0028 - val_loss: 0.0014\n",
"Epoch 59/100\n",
"38/38 [==============================] - 1s 18ms/step - loss: 0.0030 - val_loss: 0.0014\n",
"Epoch 60/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0028 - val_loss: 0.0013\n",
"Epoch 61/100\n",
"38/38 [==============================] - 1s 20ms/step - loss: 0.0029 - val_loss: 0.0013\n",
"Epoch 62/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0029 - val_loss: 0.0013\n",
"Epoch 63/100\n",
"38/38 [==============================] - 1s 18ms/step - loss: 0.0026 - val_loss: 0.0013\n",
"Epoch 64/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0027 - val_loss: 0.0012\n",
"Epoch 65/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0028 - val_loss: 0.0013\n",
"Epoch 66/100\n",
"38/38 [==============================] - 1s 20ms/step - loss: 0.0027 - val_loss: 0.0012\n",
"Epoch 67/100\n",
"38/38 [==============================] - 1s 18ms/step - loss: 0.0027 - val_loss: 0.0012\n",
"Epoch 68/100\n",
"38/38 [==============================] - 1s 18ms/step - loss: 0.0028 - val_loss: 0.0012\n",
"Epoch 69/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0026 - val_loss: 0.0012\n",
"Epoch 70/100\n",
"38/38 [==============================] - 1s 20ms/step - loss: 0.0024 - val_loss: 0.0011\n",
"Epoch 71/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0024 - val_loss: 0.0011\n",
"Epoch 72/100\n",
"38/38 [==============================] - 1s 18ms/step - loss: 0.0023 - val_loss: 0.0011\n",
"Epoch 73/100\n",
"38/38 [==============================] - 1s 18ms/step - loss: 0.0027 - val_loss: 0.0011\n",
"Epoch 74/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0025 - val_loss: 0.0011\n",
"Epoch 75/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0026 - val_loss: 0.0011\n",
"Epoch 76/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0024 - val_loss: 0.0010\n",
"Epoch 77/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0024 - val_loss: 0.0011\n",
"Epoch 78/100\n",
"38/38 [==============================] - 1s 18ms/step - loss: 0.0023 - val_loss: 0.0010\n",
"Epoch 79/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0024 - val_loss: 9.9233e-04\n",
"Epoch 80/100\n",
"38/38 [==============================] - 1s 20ms/step - loss: 0.0023 - val_loss: 9.8658e-04\n",
"Epoch 81/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0023 - val_loss: 9.7998e-04\n",
"Epoch 82/100\n",
"38/38 [==============================] - 1s 18ms/step - loss: 0.0024 - val_loss: 0.0010\n",
"Epoch 83/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0022 - val_loss: 9.6107e-04\n",
"Epoch 84/100\n",
"38/38 [==============================] - 1s 20ms/step - loss: 0.0024 - val_loss: 9.4007e-04\n",
"Epoch 85/100\n",
"38/38 [==============================] - 1s 20ms/step - loss: 0.0021 - val_loss: 9.1990e-04\n",
"Epoch 86/100\n",
"38/38 [==============================] - 1s 18ms/step - loss: 0.0023 - val_loss: 9.3799e-04\n",
"Epoch 87/100\n",
"38/38 [==============================] - 1s 18ms/step - loss: 0.0023 - val_loss: 9.0010e-04\n",
"Epoch 88/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0021 - val_loss: 8.8639e-04\n",
"Epoch 89/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0023 - val_loss: 8.8044e-04\n",
"Epoch 90/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0021 - val_loss: 9.0126e-04\n",
"Epoch 91/100\n",
"38/38 [==============================] - 1s 18ms/step - loss: 0.0023 - val_loss: 8.6592e-04\n",
"Epoch 92/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0020 - val_loss: 8.5559e-04\n",
"Epoch 93/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0021 - val_loss: 8.4928e-04\n",
"Epoch 94/100\n",
"38/38 [==============================] - 1s 20ms/step - loss: 0.0021 - val_loss: 8.4168e-04\n",
"Epoch 95/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0020 - val_loss: 8.4227e-04\n",
"Epoch 96/100\n",
"38/38 [==============================] - 1s 18ms/step - loss: 0.0020 - val_loss: 8.4257e-04\n",
"Epoch 97/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0022 - val_loss: 8.2664e-04\n",
"Epoch 98/100\n",
"38/38 [==============================] - 1s 19ms/step - loss: 0.0020 - val_loss: 8.0567e-04\n",
"Epoch 99/100\n",
"38/38 [==============================] - 1s 20ms/step - loss: 0.0022 - val_loss: 8.2248e-04\n",
"Epoch 100/100\n",
"38/38 [==============================] - 1s 18ms/step - loss: 0.0021 - val_loss: 7.9342e-04\n"
]
}
],
"source": [
"history = sdetect.fit(\n",
" traindat,\n",
" epochs=100,\n",
" validation_data=valdat\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"See how the losses have evolved. A word on accuracy here: we cant use the out of the box accuracy functions as they will just not represent what we did. You have to provide your own function: e.g. check if the correct color value was predicted and if the euclidean distance between target position and predicted position is below a certain threshold. \n",
" "
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"from matplotlib import pyplot\n",
"\n",
"loss=history.history['loss']\n",
"val_loss=history.history['val_loss']\n",
"\n",
"epochs_range = range(1, len(loss) + 1)\n",
"plt.figure(figsize=(5, 5))\n",
"\n",
"plt.subplot(1, 1, 1)\n",
"pyplot.yscale('log') \n",
"plt.plot(epochs_range, loss, label='Training Loss')\n",
"plt.plot(epochs_range, val_loss, label='Validation Loss')\n",
"plt.legend(loc='upper right')\n",
"plt.title('Training and Validation Loss')\n",
"plt.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Does it predict?"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"I would say yes - mostly. Color value is predicted very good but I expected the position detection to perform better...\n",
"The good thing: you now have quite everything to build your own custom examples with tf.data pipelines for your detections."
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Groundtruth label: [0.9839 0.6602 0. 1. 0. ]\n",
"Prediction from model: [0.9793 0.6593 0.0172 0.9894 0.0204]\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x7fe994faff60>"
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"valid = random.randint( 0, BATCHSIZE-1)\n",
"data, label = valdat.as_numpy_iterator().next()\n",
"\n",
"np.set_printoptions(precision=4)\n",
"\n",
"simg = data[valid].copy()\n",
"res = sdetect.predict( simg[None])\n",
"\n",
"print(\"Groundtruth label: \", label[valid])\n",
"print(\"Prediction from model: \", res[0])\n",
"\n",
"dposy = int(res[0][0]*simg.shape[0])\n",
"dposx = int(res[0][1]*simg.shape[1])\n",
"\n",
"simg = cv2.rectangle((simg*255).astype(np.uint8),(dposx,dposy),(dposx+7,dposy+7),(0,255,255),1)\n",
"plt.imshow( simg)\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.3"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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