GUI 5.0.5

CHANGELOG.md

@@ -1,3 +1,17 @@
+# v5.0.5
+
+### Improvements
+* Implement Focus Widget using BrainFlow Metrics! #924
+* Throw a popup if users are are running an old version of Windows operating system. GUI v5 supports 64-bit Windows 8, 8.1, and 10. #964
+* Throw a popup if Windows users are using 32-bit Java and Processing. #964
+* Set Networking Widget default baud rate for Serial output to 57600
+
+### Bug Fixes
+* Fix Y axis Autoscale in TimeSeries when all values are less than zero. Example: Cyton with filters off
+* Gracefully handle cases when Cyton or Cyton+Daisy users want to use 8 or 16 channels #954
+* Update Save Session Settings success message. Session settings are no longer auto-loaded on Session start. #969
+* Session settings are no longer auto-saved when system is halted #969
+
 # v5.0.4
 
 ### Improvements

Networking-Test-Kit/LSL/brainflow_lsl_cyton_accel.py

@@ -0,0 +1,67 @@
+import argparse
+import time
+import numpy as np
+import brainflow
+from brainflow.board_shim import BoardShim, BrainFlowInputParams, LogLevels, BoardIds
+from brainflow.data_filter import DataFilter, FilterTypes, AggOperations
+from pylsl import StreamInfo, StreamOutlet
+
+#from queue import Queue
+BoardShim.enable_dev_board_logger()
+params = BrainFlowInputParams()
+params.serial_port = '/dev/cu.usbserial-DM00D7TW'
+board = BoardShim(BoardIds.CYTON_BOARD.value, params) # added cyton board id here
+srate = board.get_sampling_rate(BoardIds.CYTON_BOARD.value)
+board.prepare_session()
+board.start_stream()
+eeg_chan = BoardShim.get_eeg_channels(BoardIds.CYTON_BOARD.value)
+aux_chan = BoardShim.get_accel_channels(BoardIds.CYTON_BOARD.value)
+
+print('EEG channels:')
+print(eeg_chan)
+print('Accelerometer channels')
+print(aux_chan)
+
+# define lsl streams
+
+# Defining stream info:
+name = 'OpenBCIEEG'
+ID = 'OpenBCIEEG'
+channels = 8
+sample_rate = 250
+datatype = 'float32'
+streamType = 'EEG'
+
+print(f"Creating LSL stream for EEG. \nName: {name}\nID: {ID}\n")
+info_eeg = StreamInfo(name, streamType, channels, sample_rate, datatype, ID)
+chns = info_eeg.desc().append_child("channels")
+for label in ["AFp1", "AFp2", "C3", "C4", "P7", "P8", "O1", "O2"]:
+    ch = chns.append_child("channel")
+    ch.append_child_value("label", label)
+info_aux = StreamInfo('OpenBCIAUX', 'AUX', 3, 250, 'float32', 'OpenBCItestAUX')
+chns = info_aux.desc().append_child("channels")
+for label in ["X", "Y", "Z"]:
+    ch = chns.append_child("channel")
+    ch.append_child_value("label", label)
+outlet_aux = StreamOutlet(info_aux)
+outlet_eeg = StreamOutlet(info_eeg)
+
+# construct a numpy array that contains only eeg channels and aux channels with correct scaling
+# this streams to lsl
+while True:
+    data = board.get_board_data() # this gets data continiously
+    # don't send empty data
+    if len(data[0]) < 1 : continue
+    eeg_data = data[eeg_chan]
+    aux_data = data[aux_chan]
+    #print(scaled_eeg_data)
+    #print(scaled_aux_data)
+    #print('------------------------------------------------------------------------------------------')
+    eegchunk = []
+    for i in range(len(eeg_data[0])):
+        eegchunk.append((eeg_data[:,i]).tolist()) #scale data here
+    outlet_eeg.push_chunk(eegchunk)
+    auxchunk = []
+    for i in range(len(aux_data[0])):
+        auxchunk.append((aux_data[:,i]).tolist()) #scale data here
+    outlet_aux.push_chunk(auxchunk)  

Networking-Test-Kit/splitLargeCSV.py

@@ -0,0 +1,40 @@
+
+import os
+import csv
+
+
+def split(filehandler, delimiter=',', row_limit=4000000,
+          output_name_template='output_%s.csv', output_path='.', keep_headers=True):
+
+    reader = csv.reader(filehandler, delimiter=delimiter)
+    current_piece = 1
+    current_out_path = os.path.join(
+        output_path,
+        output_name_template % current_piece
+    )
+    current_out_writer = csv.writer(open(current_out_path, 'w', newline=''), delimiter=delimiter)
+    current_limit = row_limit
+    headers = []
+    if keep_headers:
+        for i in range (5):
+            headerRow = next(reader);
+            headers.append(headerRow)
+            current_out_writer.writerow(headerRow)
+
+    for i, row in enumerate(reader):
+        if i + 1 > current_limit:
+            current_piece += 1
+            current_limit = row_limit * current_piece
+            current_out_path = os.path.join(
+                output_path,
+                output_name_template % current_piece
+            )
+            current_out_writer = csv.writer(open(current_out_path, 'w', newline=''), delimiter=delimiter)
+            if keep_headers:
+                for headerRowI in headers:
+                    current_out_writer.writerow(headerRowI)
+                    print (headerRowI) 
+            print (i)    
+        current_out_writer.writerow(row)
+
+split(open('OpenBCI-RAW-2021-04-05_21-49-12.txt', 'r'));

OpenBCI_GUI/ADS1299SettingsController.pde

@@ -218,6 +218,7 @@ class ADS1299SettingsController {
         resizeDropdowns(chanBar_h);
 
         resizeCustomCommandUI();
+
     }
 
     //Returns true if board and UI are in sync
@@ -382,10 +383,10 @@ class ADS1299SettingsController {
     }
 
     private void createCustomCommandUI() {
-        final Textfield _tf = hwsCp5.addTextfield("customCommand")
+        customCommandTF = hwsCp5.addTextfield("customCommand")
             .setPosition(0, 0)
             .setCaptionLabel("")
-            .setSize(10, 10)
+            .setSize(120, 20)
             .setFont(f2)
             .setFocus(false)
             .setColor(color(26, 26, 26))
@@ -398,22 +399,21 @@ class ADS1299SettingsController {
             .align(5, 10, 20, 40)
             .setAutoClear(false) //Don't clear textfield when pressing Enter key
             ;
-        _tf.setDescription("Type a custom command and Send to board.");
+        customCommandTF.setDescription("Type a custom command and Send to board.");
         //Clear textfield on double click
-        _tf.onDoublePress(new CallbackListener() {
+        customCommandTF.onDoublePress(new CallbackListener() {
             public void controlEvent(CallbackEvent theEvent) {
                 output("[ExpertMode] Enter the custom command you would like to send to the board.");
-                _tf.clear();
+                customCommandTF.clear();
             }
         });
-        _tf.addCallback(new CallbackListener() {
+        customCommandTF.addCallback(new CallbackListener() {
             public void controlEvent(CallbackEvent theEvent) {
                 if ((theEvent.getAction() == ControlP5.ACTION_BROADCAST) || (theEvent.getAction() == ControlP5.ACTION_LEAVE)) {
-                    _tf.setFocus(false);
+                    customCommandTF.setFocus(false);
                 }
             }
         });
-        customCommandTF = _tf;
 
         sendCustomCmdButton = createButton(hwsCp5, "sendCustomCommand", "Send Custom Command", 0, 0, 10, 10);
         sendCustomCmdButton.setBorderColor(OBJECT_BORDER_GREY);
@@ -434,7 +434,7 @@ class ADS1299SettingsController {
         resizeCustomCommandUI();
     }
 
-    private void resizeCustomCommandUI() {
+    public void resizeCustomCommandUI() {
         customCmdUI_x = x;
         customCmdUI_w = w + 1;
         int tf_w = Math.round(button_w * 1.8);
@@ -445,7 +445,8 @@ class ADS1299SettingsController {
         //int tf_w = Math.round((customCmdUI_w - padding_3*2) * .75);
         int tf_h = commandBarH - padding_3*2;
         customCommandTF.setPosition(tf_x, tf_y);
-        customCommandTF.setSize(tf_w, tf_h);
+        customCommandTF.setWidth(tf_w);
+        customCommandTF.setHeight(tf_h);
         int but_x = tf_x + customCommandTF.getWidth() + padding_3;
         sendCustomCmdButton.setPosition(but_x, tf_y);
         sendCustomCmdButton.setSize(but_w, tf_h - 1);

OpenBCI_GUI/DataProcessing.pde

@@ -33,7 +33,6 @@ void processNewData() {
 
     //update the data buffers
     for (int Ichan=0; Ichan < channelCount; Ichan++) {
-
         for(int i = 0; i < getCurrentBoardBufferSize(); i++) {
             dataProcessingRawBuffer[Ichan][i] = (float)currentData.get(i)[exgChannels[Ichan]];
         }

OpenBCI_GUI/Extras.pde

@@ -26,6 +26,22 @@ private boolean isMac() {
     return !isWindows() && !isLinux();
 }
 
+//BrainFlow only supports Windows 8 and 10. This will help with OpenBCI support tickets. #964
+private void checkIsOldVersionOfWindowsOS() {
+    boolean isOld = SystemUtils.IS_OS_WINDOWS_7 || SystemUtils.IS_OS_WINDOWS_VISTA || SystemUtils.IS_OS_WINDOWS_XP;
+    if (isOld) {
+        PopupMessage msg = new PopupMessage("Old Windows OS Detected", "OpenBCI GUI v5 and BrainFlow are made for 64-bit Windows 8, 8.1, and 10. Please update your OS, computer, or revert to GUI v4.2.0.");
+    }
+}
+
+//Sanity check for 64-bit Java for Windows users #964
+private void checkIs64BitJava() {
+    boolean is64Bit = System.getProperty("sun.arch.data.model").indexOf("64") >= 0;
+    if (!is64Bit) {
+        PopupMessage msg = new PopupMessage("32-bit Java Detected", "OpenBCI GUI v5 and BrainFlow are made for 64-bit Java (Windows, Linux, and Mac). Please update your OS, computer, Processing IDE, or revert to GUI v4 or earlier.");
+    }
+}
+
 
 //compute the standard deviation
 float std(float[] data) {