| |
| /* IMGFILE module - Interface to sgi libimage */ |
| |
| /* XXX This module should be done better at some point. It should return |
| ** an object of image file class, and have routines to manipulate these |
| ** image files in a neater way (so you can get rgb images off a greyscale |
| ** file, for instance, or do a straight display without having to get the |
| ** image bits into python, etc). |
| ** |
| ** Warning: this module is very non-reentrant (esp. the readscaled stuff) |
| */ |
| |
| #include "Python.h" |
| |
| #include <gl/image.h> |
| |
| #include "/usr/people/4Dgifts/iristools/include/izoom.h" |
| |
| /* Bunch of missing extern decls; keep gcc -Wall happy... */ |
| extern void i_seterror(); |
| extern void iclose(); |
| extern void filterzoom(); |
| extern void putrow(); |
| extern void getrow(); |
| |
| static PyObject * ImgfileError; /* Exception we raise for various trouble */ |
| |
| static int top_to_bottom; /* True if we want top-to-bottom images */ |
| |
| /* The image library does not always call the error hander :-(, |
| therefore we have a global variable indicating that it was called. |
| It is cleared by imgfile_open(). */ |
| |
| static int error_called; |
| |
| |
| /* The error handler */ |
| |
| static void |
| imgfile_error(char *str) |
| { |
| PyErr_SetString(ImgfileError, str); |
| error_called = 1; |
| return; /* To imglib, which will return a failure indicator */ |
| } |
| |
| |
| /* Open an image file and return a pointer to it. |
| Make sure we raise an exception if we fail. */ |
| |
| static IMAGE * |
| imgfile_open(char *fname) |
| { |
| IMAGE *image; |
| i_seterror(imgfile_error); |
| error_called = 0; |
| errno = 0; |
| if ( (image = iopen(fname, "r")) == NULL ) { |
| /* Error may already be set by imgfile_error */ |
| if ( !error_called ) { |
| if (errno) |
| PyErr_SetFromErrno(ImgfileError); |
| else |
| PyErr_SetString(ImgfileError, |
| "Can't open image file"); |
| } |
| return NULL; |
| } |
| return image; |
| } |
| |
| static PyObject * |
| imgfile_ttob(PyObject *self, PyObject *args) |
| { |
| int newval; |
| PyObject *rv; |
| |
| if (!PyArg_ParseTuple(args, "i:ttob", &newval)) |
| return NULL; |
| rv = PyInt_FromLong(top_to_bottom); |
| top_to_bottom = newval; |
| return rv; |
| } |
| |
| static PyObject * |
| imgfile_read(PyObject *self, PyObject *args) |
| { |
| char *fname; |
| PyObject *rv; |
| int xsize, ysize, zsize; |
| char *cdatap; |
| long *idatap; |
| static short rs[8192], gs[8192], bs[8192]; |
| int x, y; |
| IMAGE *image; |
| int yfirst, ylast, ystep; |
| |
| if ( !PyArg_ParseTuple(args, "s:read", &fname) ) |
| return NULL; |
| |
| if ( (image = imgfile_open(fname)) == NULL ) |
| return NULL; |
| |
| if ( image->colormap != CM_NORMAL ) { |
| iclose(image); |
| PyErr_SetString(ImgfileError, |
| "Can only handle CM_NORMAL images"); |
| return NULL; |
| } |
| if ( BPP(image->type) != 1 ) { |
| iclose(image); |
| PyErr_SetString(ImgfileError, |
| "Can't handle imgfiles with bpp!=1"); |
| return NULL; |
| } |
| xsize = image->xsize; |
| ysize = image->ysize; |
| zsize = image->zsize; |
| if ( zsize != 1 && zsize != 3) { |
| iclose(image); |
| PyErr_SetString(ImgfileError, |
| "Can only handle 1 or 3 byte pixels"); |
| return NULL; |
| } |
| if ( xsize > 8192 ) { |
| iclose(image); |
| PyErr_SetString(ImgfileError, |
| "Can't handle image with > 8192 columns"); |
| return NULL; |
| } |
| |
| if ( zsize == 3 ) zsize = 4; |
| rv = PyString_FromStringAndSize((char *)NULL, xsize*ysize*zsize); |
| if ( rv == NULL ) { |
| iclose(image); |
| return NULL; |
| } |
| cdatap = PyString_AsString(rv); |
| idatap = (long *)cdatap; |
| |
| if (top_to_bottom) { |
| yfirst = ysize-1; |
| ylast = -1; |
| ystep = -1; |
| } else { |
| yfirst = 0; |
| ylast = ysize; |
| ystep = 1; |
| } |
| for ( y=yfirst; y != ylast && !error_called; y += ystep ) { |
| if ( zsize == 1 ) { |
| getrow(image, rs, y, 0); |
| for(x=0; x<xsize; x++ ) |
| *cdatap++ = rs[x]; |
| } else { |
| getrow(image, rs, y, 0); |
| getrow(image, gs, y, 1); |
| getrow(image, bs, y, 2); |
| for(x=0; x<xsize; x++ ) |
| *idatap++ = (rs[x] & 0xff) | |
| ((gs[x] & 0xff)<<8) | |
| ((bs[x] & 0xff)<<16); |
| } |
| } |
| iclose(image); |
| if ( error_called ) { |
| Py_DECREF(rv); |
| return NULL; |
| } |
| return rv; |
| } |
| |
| static IMAGE *glob_image; |
| static long *glob_datap; |
| static int glob_width, glob_z, glob_ysize; |
| |
| static void |
| xs_get(short *buf, int y) |
| { |
| if (top_to_bottom) |
| getrow(glob_image, buf, (glob_ysize-1-y), glob_z); |
| else |
| getrow(glob_image, buf, y, glob_z); |
| } |
| |
| static void |
| xs_put_c(short *buf, int y) |
| { |
| char *datap = (char *)glob_datap + y*glob_width; |
| int width = glob_width; |
| |
| while ( width-- ) |
| *datap++ = (*buf++) & 0xff; |
| } |
| |
| static void |
| xs_put_0(short *buf, int y) |
| { |
| long *datap = glob_datap + y*glob_width; |
| int width = glob_width; |
| |
| while ( width-- ) |
| *datap++ = (*buf++) & 0xff; |
| } |
| static void |
| xs_put_12(short *buf, int y) |
| { |
| long *datap = glob_datap + y*glob_width; |
| int width = glob_width; |
| |
| while ( width-- ) |
| *datap++ |= ((*buf++) & 0xff) << (glob_z*8); |
| } |
| |
| static void |
| xscale(IMAGE *image, int xsize, int ysize, int zsize, |
| long *datap, int xnew, int ynew, int fmode, double blur) |
| { |
| glob_image = image; |
| glob_datap = datap; |
| glob_width = xnew; |
| glob_ysize = ysize; |
| if ( zsize == 1 ) { |
| glob_z = 0; |
| filterzoom(xs_get, xs_put_c, xsize, ysize, |
| xnew, ynew, fmode, blur); |
| } else { |
| glob_z = 0; |
| filterzoom(xs_get, xs_put_0, xsize, ysize, |
| xnew, ynew, fmode, blur); |
| glob_z = 1; |
| filterzoom(xs_get, xs_put_12, xsize, ysize, |
| xnew, ynew, fmode, blur); |
| glob_z = 2; |
| filterzoom(xs_get, xs_put_12, xsize, ysize, |
| xnew, ynew, fmode, blur); |
| } |
| } |
| |
| |
| static PyObject * |
| imgfile_readscaled(PyObject *self, PyObject *args) |
| { |
| char *fname; |
| PyObject *rv; |
| int xsize, ysize, zsize; |
| char *cdatap; |
| long *idatap; |
| static short rs[8192], gs[8192], bs[8192]; |
| int x, y; |
| int xwtd, ywtd, xorig, yorig; |
| float xfac, yfac; |
| IMAGE *image; |
| char *filter; |
| double blur = 1.0; |
| int extended; |
| int fmode = 0; |
| int yfirst, ylast, ystep; |
| |
| /* |
| ** Parse args. Funny, since arg 4 and 5 are optional |
| ** (filter name and blur factor). Also, 4 or 5 arguments indicates |
| ** extended scale algorithm in stead of simple-minded pixel drop/dup. |
| */ |
| extended = PyTuple_Size(args) >= 4; |
| if ( !PyArg_ParseTuple(args, "sii|sd", |
| &fname, &xwtd, &ywtd, &filter, &blur) ) |
| return NULL; |
| |
| /* |
| ** Check parameters, open file and check type, rows, etc. |
| */ |
| if ( extended ) { |
| if ( strcmp(filter, "impulse") == 0 ) |
| fmode = IMPULSE; |
| else if ( strcmp( filter, "box") == 0 ) |
| fmode = BOX; |
| else if ( strcmp( filter, "triangle") == 0 ) |
| fmode = TRIANGLE; |
| else if ( strcmp( filter, "quadratic") == 0 ) |
| fmode = QUADRATIC; |
| else if ( strcmp( filter, "gaussian") == 0 ) |
| fmode = GAUSSIAN; |
| else { |
| PyErr_SetString(ImgfileError, "Unknown filter type"); |
| return NULL; |
| } |
| } |
| |
| if ( (image = imgfile_open(fname)) == NULL ) |
| return NULL; |
| |
| if ( image->colormap != CM_NORMAL ) { |
| iclose(image); |
| PyErr_SetString(ImgfileError, |
| "Can only handle CM_NORMAL images"); |
| return NULL; |
| } |
| if ( BPP(image->type) != 1 ) { |
| iclose(image); |
| PyErr_SetString(ImgfileError, |
| "Can't handle imgfiles with bpp!=1"); |
| return NULL; |
| } |
| xsize = image->xsize; |
| ysize = image->ysize; |
| zsize = image->zsize; |
| if ( zsize != 1 && zsize != 3) { |
| iclose(image); |
| PyErr_SetString(ImgfileError, |
| "Can only handle 1 or 3 byte pixels"); |
| return NULL; |
| } |
| if ( xsize > 8192 ) { |
| iclose(image); |
| PyErr_SetString(ImgfileError, |
| "Can't handle image with > 8192 columns"); |
| return NULL; |
| } |
| |
| if ( zsize == 3 ) zsize = 4; |
| rv = PyString_FromStringAndSize(NULL, xwtd*ywtd*zsize); |
| if ( rv == NULL ) { |
| iclose(image); |
| return NULL; |
| } |
| PyFPE_START_PROTECT("readscaled", return 0) |
| xfac = (float)xsize/(float)xwtd; |
| yfac = (float)ysize/(float)ywtd; |
| PyFPE_END_PROTECT(yfac) |
| cdatap = PyString_AsString(rv); |
| idatap = (long *)cdatap; |
| |
| if ( extended ) { |
| xscale(image, xsize, ysize, zsize, |
| idatap, xwtd, ywtd, fmode, blur); |
| } else { |
| if (top_to_bottom) { |
| yfirst = ywtd-1; |
| ylast = -1; |
| ystep = -1; |
| } else { |
| yfirst = 0; |
| ylast = ywtd; |
| ystep = 1; |
| } |
| for ( y=yfirst; y != ylast && !error_called; y += ystep ) { |
| yorig = (int)(y*yfac); |
| if ( zsize == 1 ) { |
| getrow(image, rs, yorig, 0); |
| for(x=0; x<xwtd; x++ ) { |
| *cdatap++ = rs[(int)(x*xfac)]; |
| } |
| } else { |
| getrow(image, rs, yorig, 0); |
| getrow(image, gs, yorig, 1); |
| getrow(image, bs, yorig, 2); |
| for(x=0; x<xwtd; x++ ) { |
| xorig = (int)(x*xfac); |
| *idatap++ = (rs[xorig] & 0xff) | |
| ((gs[xorig] & 0xff)<<8) | |
| ((bs[xorig] & 0xff)<<16); |
| } |
| } |
| } |
| } |
| iclose(image); |
| if ( error_called ) { |
| Py_DECREF(rv); |
| return NULL; |
| } |
| return rv; |
| } |
| |
| static PyObject * |
| imgfile_getsizes(PyObject *self, PyObject *args) |
| { |
| char *fname; |
| PyObject *rv; |
| IMAGE *image; |
| |
| if ( !PyArg_ParseTuple(args, "s:getsizes", &fname) ) |
| return NULL; |
| |
| if ( (image = imgfile_open(fname)) == NULL ) |
| return NULL; |
| rv = Py_BuildValue("(iii)", image->xsize, image->ysize, image->zsize); |
| iclose(image); |
| return rv; |
| } |
| |
| static PyObject * |
| imgfile_write(PyObject *self, PyObject *args) |
| { |
| IMAGE *image; |
| char *fname; |
| int xsize, ysize, zsize, len; |
| char *cdatap; |
| long *idatap; |
| short rs[8192], gs[8192], bs[8192]; |
| short r, g, b; |
| long rgb; |
| int x, y; |
| int yfirst, ylast, ystep; |
| |
| |
| if ( !PyArg_ParseTuple(args, "ss#iii:write", |
| &fname, &cdatap, &len, &xsize, &ysize, &zsize) ) |
| return NULL; |
| |
| if ( zsize != 1 && zsize != 3 ) { |
| PyErr_SetString(ImgfileError, |
| "Can only handle 1 or 3 byte pixels"); |
| return NULL; |
| } |
| if ( len != xsize * ysize * (zsize == 1 ? 1 : 4) ) { |
| PyErr_SetString(ImgfileError, "Data does not match sizes"); |
| return NULL; |
| } |
| if ( xsize > 8192 ) { |
| PyErr_SetString(ImgfileError, |
| "Can't handle image with > 8192 columns"); |
| return NULL; |
| } |
| |
| error_called = 0; |
| errno = 0; |
| image =iopen(fname, "w", RLE(1), 3, xsize, ysize, zsize); |
| if ( image == 0 ) { |
| if ( ! error_called ) { |
| if (errno) |
| PyErr_SetFromErrno(ImgfileError); |
| else |
| PyErr_SetString(ImgfileError, |
| "Can't create image file"); |
| } |
| return NULL; |
| } |
| |
| idatap = (long *)cdatap; |
| |
| if (top_to_bottom) { |
| yfirst = ysize-1; |
| ylast = -1; |
| ystep = -1; |
| } else { |
| yfirst = 0; |
| ylast = ysize; |
| ystep = 1; |
| } |
| for ( y=yfirst; y != ylast && !error_called; y += ystep ) { |
| if ( zsize == 1 ) { |
| for( x=0; x<xsize; x++ ) |
| rs[x] = *cdatap++; |
| putrow(image, rs, y, 0); |
| } else { |
| for( x=0; x<xsize; x++ ) { |
| rgb = *idatap++; |
| r = rgb & 0xff; |
| g = (rgb >> 8 ) & 0xff; |
| b = (rgb >> 16 ) & 0xff; |
| rs[x] = r; |
| gs[x] = g; |
| bs[x] = b; |
| } |
| putrow(image, rs, y, 0); |
| putrow(image, gs, y, 1); |
| putrow(image, bs, y, 2); |
| } |
| } |
| iclose(image); |
| if ( error_called ) |
| return NULL; |
| Py_INCREF(Py_None); |
| return Py_None; |
| |
| } |
| |
| |
| static PyMethodDef imgfile_methods[] = { |
| { "getsizes", imgfile_getsizes, METH_VARARGS }, |
| { "read", imgfile_read, METH_VARARGS }, |
| { "readscaled", imgfile_readscaled, METH_VARARGS}, |
| { "write", imgfile_write, METH_VARARGS }, |
| { "ttob", imgfile_ttob, METH_VARARGS }, |
| { NULL, NULL } /* Sentinel */ |
| }; |
| |
| |
| void |
| initimgfile(void) |
| { |
| PyObject *m, *d; |
| m = Py_InitModule("imgfile", imgfile_methods); |
| d = PyModule_GetDict(m); |
| ImgfileError = PyErr_NewException("imgfile.error", NULL, NULL); |
| if (ImgfileError != NULL) |
| PyDict_SetItemString(d, "error", ImgfileError); |
| } |
| |
| |
| |